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Language acquisition
Language acquisition
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Language acquisition is the process by which humans acquire the capacity to perceive and comprehend language. In other words, it is how human beings gain the ability to be aware of language, to understand it, and to produce and use words and sentences to communicate.

Language acquisition involves structures, rules, and representation. The capacity to successfully use language requires human beings to acquire a range of tools, including phonology, morphology, syntax, semantics, and an extensive vocabulary. Language can be vocalized as in speech, or manual as in sign.[1] Human language capacity is represented in the brain. Even though human language capacity is finite, one can say and understand an infinite number of sentences, which is based on a syntactic principle called recursion. Evidence suggests that every individual has three recursive mechanisms that allow sentences to go indeterminately. These three mechanisms are: relativization, complementation and coordination.[2]

There are two main guiding principles in first-language acquisition: speech perception always precedes speech production, and the gradually evolving system by which a child learns a language is built up one step at a time, beginning with the distinction between individual phonemes.[3]

For many years, linguists interested in child language acquisition have questioned how language is acquired. Lidz et al. state, "The question of how these structures are acquired, then, is more properly understood as the question of how a learner takes the surface forms in the input and converts them into abstract linguistic rules and representations."[4]

Language acquisition usually refers to first-language acquisition. It studies infants' acquisition of their native language, whether that is a spoken language or a sign language,[1] though it can also refer to bilingual first language acquisition (BFLA), referring to an infant's simultaneous acquisition of two native languages.[5][6][7][8][9][10][11] This is distinguished from second-language acquisition, which deals with the acquisition (in both children and adults) of additional languages. On top of speech, reading and writing a language with an entirely different script increases the complexities of true foreign language literacy. Language acquisition is one of the quintessential human traits.[12][13]

History

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Some early observation-based ideas about language acquisition were proposed by Plato, who felt that word-meaning mapping in some form was innate. Additionally, Sanskrit grammarians debated for over twelve centuries whether humans' ability to recognize the meaning of words was god-given (possibly innate) or passed down by previous generations and learned from already established conventions: a child learning the word for cow by listening to trusted speakers talking about cows.[14]

Philosophers in ancient societies were interested in how humans acquired the ability to understand and produce language well before empirical methods for testing those theories were developed, but for the most part they seemed to regard language acquisition as a subset of man's ability to acquire knowledge and learn concepts.[15]

Empiricists, like Thomas Hobbes and John Locke, argued that knowledge (and, for Locke, language) emerge ultimately from abstracted sense impressions. These arguments lean towards the "nurture" side of the argument: that language is acquired through sensory experience, which led to Rudolf Carnap's Aufbau, an attempt to learn all knowledge from sense datum, using the notion of "remembered as similar" to bind them into clusters, which would eventually map into language.[16]

Proponents of behaviorism argued that language may be learned through a form of operant conditioning. In B. F. Skinner's Verbal Behavior (1957), he suggested that the successful use of a sign, such as a word or lexical unit, given a certain stimulus, reinforces its "momentary" or contextual probability. Since operant conditioning is contingent on reinforcement by rewards, a child would learn that a specific combination of sounds means a specific thing through repeated successful associations made between the two. A "successful" use of a sign would be one in which the child is understood (for example, a child saying "up" when they want to be picked up) and rewarded with the desired response from another person, thereby reinforcing the child's understanding of the meaning of that word and making it more likely that they will use that word in a similar situation in the future. Some empiricist theories of language acquisition include the statistical learning theory. Charles F. Hockett of language acquisition, relational frame theory, functionalist linguistics, social interactionist theory, and usage-based language acquisition.

Skinner's behaviorist idea was strongly attacked by Noam Chomsky in a review article in 1959, calling it "largely mythology" and a "serious delusion."[17] Arguments against Skinner's idea of language acquisition through operant conditioning include the fact that children often ignore language corrections from adults. Instead, children typically follow a pattern of using an irregular form of a word correctly, making errors later on, and eventually returning to the proper use of the word. For example, a child may correctly learn the word "gave" (past tense of "give"), and later on use the word "gived". Eventually, the child will typically go back to using the correct word, "gave". Chomsky claimed the pattern is difficult to attribute to Skinner's idea of operant conditioning as the primary way that children acquire language. Chomsky argued that if language were solely acquired through behavioral conditioning, children would not likely learn the proper use of a word and suddenly use the word incorrectly.[18] Chomsky believed that Skinner failed to account for the central role of syntactic knowledge in language competence. Chomsky also rejected the term "learning", which Skinner used to claim that children "learn" language through operant conditioning.[19] Instead, Chomsky argued for a mathematical approach to language acquisition, based on a study of syntax.

As a typically human phenomenon

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The capacity to acquire and use language is a key aspect that distinguishes humans from other beings. Although it is difficult to pin down what aspects of language are uniquely human, there are a few design features that can be found in all known forms of human language, but that are missing from forms of animal communication. For example, many animals are able to communicate with each other by signaling to the things around them, but this kind of communication lacks the arbitrariness of human vernaculars (in that there is nothing about the sound of the word "dog" that would hint at its meaning). Other forms of animal communication may utilize arbitrary sounds, but are unable to combine those sounds in different ways to create completely novel messages that can then be automatically understood by another. Hockett called this design feature of human language "productivity". It is crucial to the understanding of human language acquisition that humans are not limited to a finite set of words, but, rather, must be able to understand and utilize a complex system that allows for an infinite number of possible messages. So, while many forms of animal communication exist, they differ from human language in that they have a limited range of vocabulary tokens, and the vocabulary items are not combined syntactically to create phrases.[20]

Victor of Aveyron

Herbert S. Terrace conducted a study on a chimpanzee known as Nim Chimpsky in an attempt to teach him American Sign Language. This study was an attempt to further research done with a chimpanzee named Washoe, who was reportedly able to acquire American Sign Language. However, upon further inspection, Terrace concluded that both experiments were failures.[21] While Nim was able to acquire signs, he never acquired a knowledge of grammar, and was unable to combine signs in a meaningful way. Researchers noticed that "signs that seemed spontaneous were, in fact, cued by teachers",[22] and not actually productive. When Terrace reviewed Project Washoe, he found similar results. He postulated that there is a fundamental difference between animals and humans in their motivation to learn language; animals, such as in Nim's case, are motivated only by physical reward, while humans learn language in order to "create a new type of communication".[23]

In another language acquisition study, Jean-Marc-Gaspard Itard attempted to teach Victor of Aveyron, a feral child, how to speak. Victor was able to learn a few words, but ultimately never fully acquired language.[24] Slightly more successful was a study done on Genie, another child never introduced to society. She had been entirely isolated for the first thirteen years of her life by her father. Caretakers and researchers attempted to measure her ability to learn a language. She was able to acquire a large vocabulary, but never acquired grammatical knowledge. Researchers concluded that the theory of a critical period was true — Genie was too old to learn how to speak productively, although she was still able to comprehend language.[25]

General approaches

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A major debate in understanding language acquisition is how these capacities are picked up by infants from the linguistic input.[26] Input in the linguistic context is defined as "All words, contexts, and other forms of language to which a learner is exposed, relative to acquired proficiency in first or second languages". Nativists such as Chomsky have focused on the hugely complex nature of human grammars, the finiteness and ambiguity of the input that children receive, and the relatively limited cognitive abilities of an infant. From these characteristics, they conclude that the process of language acquisition in infants must be tightly constrained and guided by the biologically given characteristics of the human brain. Otherwise, they argue, it is extremely difficult to explain how children, within the first five years of life, routinely master the complex, largely tacit grammatical rules of their native language.[27] Additionally, the evidence of such rules in their native language is all indirect—adult speech to children cannot encompass all of what children know by the time they have acquired their native language.[28]

Other scholars,[who?] however, have resisted the possibility that infants' routine success at acquiring the grammar of their native language requires anything more than the forms of learning seen with other cognitive skills, including such mundane motor skills as learning to ride a bike. In particular, there has been resistance to the possibility that human biology includes any form of specialization for language. This conflict is often referred to as the "nature and nurture" debate. Of course, most scholars acknowledge that certain aspects of language acquisition must result from the specific ways in which the human brain is "wired" (a "nature" component, which accounts for the failure of non-human species to acquire human languages) and that certain others are shaped by the particular language environment in which a person is raised (a "nurture" component, which accounts for the fact that humans raised in different societies acquire different languages). The as-yet unresolved question is the extent to which the specific cognitive capacities in the "nature" component are also used outside of language.[citation needed]

Emergentism

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Emergentist theories, such as Brian MacWhinney's competition model, posit that language acquisition is a cognitive process that emerges from the interaction of biological pressures and the environment. According to these theories, neither nature nor nurture alone is sufficient to trigger language learning; both of these influences must work together in order to allow children to acquire a language. The proponents of these theories argue that general cognitive processes subserve language acquisition and that the result of these processes is language-specific phenomena, such as word learning and grammar acquisition. The findings of many empirical studies support the predictions of these theories, suggesting that language acquisition is a more complex process than many have proposed.[29]

Empiricism

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Although Chomsky's theory of a generative grammar has been enormously influential in the field of linguistics since the 1950s, many criticisms of the basic assumptions of generative theory have been put forth by cognitive-functional linguists, who argue that language structure is created through language use.[30] These linguists argue that the concept of a language acquisition device (LAD) is unsupported by evolutionary anthropology, which tends to show a gradual adaptation of the human brain and vocal cords to the use of language, rather than a sudden appearance of a complete set of binary parameters delineating the whole spectrum of possible grammars ever to have existed and ever to exist.[31] On the other hand, cognitive-functional theorists use this anthropological data to show how human beings have evolved the capacity for grammar and syntax to meet our demand for linguistic symbols. (Binary parameters are common to digital computers, but may not be applicable to neurological systems such as the human brain.)[citation needed]

Further, the generative theory has several constructs (such as movement, empty categories, complex underlying structures, and strict binary branching) that cannot possibly be acquired from any amount of linguistic input. It is unclear that human language is actually anything like the generative conception of it. Since language, as imagined by nativists, is unlearnably complex,[citation needed] subscribers to this theory argue that it must, therefore, be innate.[32] Nativists hypothesize that some features of syntactic categories exist even before a child is exposed to any experience—categories on which children map words of their language as they learn their native language.[33] A different theory of language, however, may yield different conclusions. While all theories of language acquisition posit some degree of innateness, they vary in how much value they place on this innate capacity to acquire language. Empiricism places less value on the innate knowledge, arguing instead that the input, combined with both general and language-specific learning capacities, is sufficient for acquisition.[34]

Since 1980, linguists studying children, such as Melissa Bowerman and Asifa Majid,[35] and psychologists following Jean Piaget, like Elizabeth Bates[36] and Jean Mandler, came to suspect that there may indeed be many learning processes involved in the acquisition process, and that ignoring the role of learning may have been a mistake.[citation needed]

During the 1990s and 2000s, the debate surrounding the nativist position has centered on whether the inborn capabilities are language-specific or domain-general, such as those that enable the infant to visually make sense of the world in terms of objects and actions. The anti-nativist view has many strands, but a frequent theme is that language emerges from usage in social contexts, using learning mechanisms that are a part of an innate general cognitive learning apparatus. This position has been championed by David M. W. Powers,[37] Elizabeth Bates,[38] Catherine Snow, Anat Ninio, Brian MacWhinney, Michael Tomasello,[20] Michael Ramscar,[39] William O'Grady,[40] and others. Philosophers, such as Fiona Cowie[41] and Barbara Scholz with Geoffrey Pullum[42] have also argued against certain nativist claims in support of empiricism.

The new field of cognitive linguistics has emerged as a specific counter to Chomsky's Generative Grammar and to Nativism.

Statistical learning

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Some language acquisition researchers, such as Elissa Newport, Richard Aslin, and Jenny Saffran, emphasize the possible roles of general learning mechanisms, especially statistical learning, in language acquisition. The development of connectionist models that when implemented are able to successfully learn words and syntactical conventions[43] supports the predictions of statistical learning theories of language acquisition, as do empirical studies of children's detection of word boundaries.[44] In a series of connectionist model simulations, Franklin Chang has demonstrated that such a domain general statistical learning mechanism could explain a wide range of language structure acquisition phenomena.[45]

Statistical learning theory suggests that, when learning language, a learner would use the natural statistical properties of language to deduce its structure, including sound patterns, words, and the beginnings of grammar.[46] That is, language learners are sensitive to how often syllable combinations or words occur in relation to other syllables.[44][47][48] Infants between 21 and 23 months old are also able to use statistical learning to develop "lexical categories", such as an animal category, which infants might later map to newly learned words in the same category. These findings suggest that early experience listening to language is critical to vocabulary acquisition.[48]

The statistical abilities are effective, but also limited by what qualifies as input, what is done with that input, and by the structure of the resulting output.[46] Statistical learning (and more broadly, distributional learning) can be accepted as a component of language acquisition by researchers on either side of the "nature and nurture" debate. From the perspective of that debate, an important question is whether statistical learning can, by itself, serve as an alternative to nativist explanations for the grammatical constraints of human language.

Chunking

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The central idea of these theories is that language development occurs through the incremental acquisition of meaningful chunks of elementary constituents, which can be words, phonemes, or syllables. Several studies conducted in 2005–2007 demonstrated the efficacy of this approach in simulating several phenomena in the acquisition of syntactic categories[49] and the acquisition of phonological knowledge.[50]

Chunking theories of language acquisition constitute a group of theories related to statistical learning theories, in that they assume that the input from the environment plays an essential role; however, they postulate different learning mechanisms.[clarification needed]

Researchers at the Max Planck Institute for Evolutionary Anthropology have developed a computer model analyzing early toddler conversations to predict the structure of later conversations. They showed that toddlers develop their own individual rules for speaking, with 'slots' into which they put certain kinds of words. A significant outcome of this research is that rules inferred from toddler speech were better predictors of subsequent speech than traditional grammars.[51]

This approach has several features that make it unique: the models are implemented as computer programs, which enables clear-cut and quantitative predictions to be made; they learn from naturalistic input—actual child-directed utterances; and attempt to create their own utterances, the model was tested in languages including English, Spanish, and German. Chunking for this model was shown to be most effective in learning a first language but was able to create utterances learning a second language.[52]

Relational frame theory

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The relational frame theory (RFT) (Hayes, Barnes-Holmes, Roche, 2001), provides a wholly selectionist/learning account of the origin and development of language competence and complexity. Based upon the principles of Skinnerian behaviorism, RFT posits that children acquire language purely through interacting with the environment. RFT theorists introduced the concept of functional contextualism in language learning, which emphasizes the importance of predicting and influencing psychological events, such as thoughts, feelings, and behaviors, by focusing on manipulable variables in their own context. RFT distinguishes itself from Skinner's work by identifying and defining a particular type of operant conditioning known as derived relational responding, a learning process that, to date, appears to occur only in humans possessing a capacity for language. Empirical studies supporting the predictions of RFT suggest that children learn language through a system of inherent reinforcements, challenging the view that language acquisition is based upon innate, language-specific cognitive capacities.[53]

Social interactionism

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Social interactionist theory is an explanation of language development emphasizing the role of social interaction between the developing child and linguistically knowledgeable adults. It is based largely on the socio-cultural theories of Soviet psychologist Lev Vygotsky, and was made prominent in the Western world by Jerome Bruner.[54]

Unlike other approaches, it emphasizes the role of feedback and reinforcement in language acquisition. Specifically, it asserts that much of a child's linguistic growth stems from modeling of and interaction with parents and other adults, who very frequently provide instructive correction.[55] It is thus somewhat similar to behaviorist accounts of language learning. It differs substantially, though, in that it posits the existence of a social-cognitive model and other mental structures within children (a sharp contrast to the "black box" approach of classical behaviorism).

Another key idea within the theory of social interactionism is that of the zone of proximal development. This is a theoretical construct denoting the set of tasks a child is capable of performing with guidance but not alone.[56] As applied to language, it describes the set of linguistic tasks (for example, proper syntax, suitable vocabulary usage) that a child cannot carry out on its own at a given time, but can learn to carry out if assisted by an able adult.

Syntax, morphology, and generative grammar

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As syntax began to be studied more closely in the early 20th century in relation to language learning, it became apparent to linguists, psychologists, and philosophers that knowing a language was not merely a matter of associating words with concepts, but that a critical aspect of language involves knowledge of how to put words together; sentences are usually needed in order to communicate successfully, not just isolated words.[15] A child will use short expressions such as Bye-bye Mummy or All-gone milk, which actually are combinations of individual nouns and an operator,[57] before they begin to produce gradually more complex sentences. In the 1990s, within the principles and parameters framework, this hypothesis was extended into a maturation-based structure building model of child language regarding the acquisition of functional categories. In this model, children are seen as gradually building up more and more complex structures, with lexical categories (like noun and verb) being acquired before functional-syntactic categories (like determiner and complementizer).[58] It is also often found that in acquiring a language, the most frequently used verbs are irregular verbs.[citation needed] In learning English, for example, young children first begin to learn the past tense of verbs individually. However, when they acquire a "rule", such as adding -ed to form the past tense, they begin to exhibit occasional overgeneralization errors (e.g. "runned", "hitted") alongside correct past tense forms. One influential[citation needed] proposal regarding the origin of this type of error suggests that the adult state of grammar stores each irregular verb form in memory and also includes a "block" on the use of the regular rule for forming that type of verb. In the developing child's mind, retrieval of that "block" may fail, causing the child to erroneously apply the regular rule instead of retrieving the irregular.[59][60]

Merge (linguistics)-based theory

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In bare-phrase structure (minimalist program), theory-internal considerations define the specifier position of an internal-merge projection (phases vP and CP) as the only type of host which could serve as potential landing-sites for move-based elements displaced from lower down within the base-generated VP structure—e.g. A-movement such as passives (["The apple was eaten by [John (ate the apple)"]]), or raising ["Some work does seem to remain [(There) does seem to remain (some work)"]]). As a consequence, any strong version of a structure building model of child language which calls for an exclusive "external-merge/argument structure stage" prior to an "internal-merge/scope-discourse related stage" would claim that young children's stage-1 utterances lack the ability to generate and host elements derived via movement operations. In terms of a merge-based theory of language acquisition,[61] complements and specifiers are simply notations for first-merge (= "complement-of" [head-complement]), and later second-merge (= "specifier-of" [specifier-head], with merge always forming to a head. First-merge establishes only a set {a, b} and is not an ordered pair—e.g., an {N, N}-compound of 'boat-house' would allow the ambiguous readings of either 'a kind of house' and/or 'a kind of boat'. It is only with second-merge that order is derived out of a set {a {a, b}} which yields the recursive properties of syntax—e.g., a 'house-boat' {house {house, boat}} now reads unambiguously only as a 'kind of boat'. It is this property of recursion that allows for projection and labeling of a phrase to take place;[62] in this case, that the Noun 'boat' is the Head of the compound, and 'house' acting as a kind of specifier/modifier. External-merge (first-merge) establishes substantive 'base structure' inherent to the VP, yielding theta/argument structure, and may go beyond the lexical-category VP to involve the functional-category light verb vP. Internal-merge (second-merge) establishes more formal aspects related to edge-properties of scope and discourse-related material pegged to CP. In a Phase-based theory, this twin vP/CP distinction follows the "duality of semantics" discussed within the Minimalist Program, and is further developed into a dual distinction regarding a probe-goal relation.[63] As a consequence, at the "external/first-merge-only" stage, young children would show an inability to interpret readings from a given ordered pair, since they would only have access to the mental parsing of a non-recursive set. (See Roeper for a full discussion of recursion in child language acquisition).[64] In addition to word-order violations, other more ubiquitous results of a first-merge stage would show that children's initial utterances lack the recursive properties of inflectional morphology, yielding a strict Non-inflectional stage-1, consistent with an incremental Structure-building model of child language.

Generative grammar, associated especially with the work of Noam Chomsky, is currently one of the approaches to explaining children's acquisition of syntax.[65] Its leading idea is that human biology imposes narrow constraints on the child's "hypothesis space" during language acquisition. In the principles and parameters framework, which has dominated generative syntax since Chomsky's (1980) Lectures on Government and Binding: The Pisa Lectures, the acquisition of syntax resembles ordering from a menu: the human brain comes equipped with a limited set of choices from which the child selects the correct options by imitating the parents' speech while making use of the context.[66]

An important argument which favors the generative approach, is the poverty of the stimulus argument. The child's input (a finite number of sentences encountered by the child, together with information about the context in which they were uttered) is, in principle, compatible with an infinite number of conceivable grammars. Moreover, rarely can children rely on corrective feedback from adults when they make a grammatical error; adults generally respond and provide feedback regardless of whether a child's utterance was grammatical or not, and children have no way of discerning if a feedback response was intended to be a correction. Additionally, when children do understand that they are being corrected, they don't always reproduce accurate restatements.[dubiousdiscuss][67][68] Yet, barring situations of medical abnormality or extreme privation, all children in a given speech-community converge on very much the same grammar by the age of about five years. An especially dramatic example is provided by children who, for medical reasons, are unable to produce speech and, therefore, can never be corrected for a grammatical error but nonetheless, converge on the same grammar as their typically developing peers, according to comprehension-based tests of grammar.[69][70]

Considerations such as those have led Chomsky, Jerry Fodor, Eric Lenneberg and others to argue that the types of grammar the child needs to consider must be narrowly constrained by human biology (the nativist position).[71] These innate constraints are sometimes referred to as universal grammar, the human "language faculty", or the "language instinct".[72]

Comparative method of crosslinguistic research

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The comparative method of crosslinguistic research applies the comparative method used in historical linguistics to psycholinguistic research.[73] In historical linguistics the comparative method uses comparisons between historically related languages to reconstruct a proto-language and trace the history of each daughter language. The comparative method can be repurposed for research on language acquisition by comparing historically related child languages. The historical ties within each language family provide a roadmap for research. For Indo-European languages, the comparative method would first compare language acquisition within the Slavic, Celtic, Germanic, Romance and Indo-Iranian branches of the family before attempting broader comparisons between the branches. For Otomanguean languages, the comparative method would first compare language acquisition within the Oto-pamean, Chinantecan, Tlapanecan, Popolocan, Zapotecan, Amuzgan and Mixtecan branches before attempting broader comparisons between the branches. The comparative method imposes an evaluation standard for assessing the languages used in language acquisition research.

The comparative method derives its power by assembling comprehensive datasets for each language. Descriptions of the prosody and phonology for each language inform analyses of morphology and the lexicon, which in turn inform analyses of syntax and conversational styles. Information on prosodic structure in one language informs research on the prosody of the related languages and vice versa. The comparative method produces a cumulative research program in which each description contributes to a comprehensive description of language acquisition for each language within a family as well as across the languages within each branch of the language family.

Comparative studies of language acquisition control the number of extraneous factors that impact language development. Speakers of historically related languages typically share a common culture that may include similar lifestyles and child-rearing practices. Historically related languages have similar phonologies and morphologies that impact early lexical and syntactic development in similar ways. The comparative method predicts that children acquiring historically related languages will exhibit similar patterns of language development, and that these common patterns may not hold in historically unrelated languages. The acquisition of Dutch will resemble the acquisition of German, but not the acquisition of Totonac or Mixtec. A claim about any universal of language acquisition must control for the shared grammatical structures that languages inherit from a common ancestor.

Several language acquisition studies have accidentally employed features of the comparative method due to the availability of datasets from historically related languages. Research on the acquisition of the Romance and Scandinavian languages used aspects of the comparative method, but did not produce detailed comparisons across different levels of grammar.[74][75][76][77] The most advanced use of the comparative method to date appears in research on the acquisition of the Mayan languages. This research has yielded detailed comparative studies on the acquisition of phonological, lexical, morphological and syntactic features in eight Mayan languages as well as comparisons of language input and language socialization.[78][79][80][81][82][83][84][85][86]

Representation in the brain

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Several regions of the human brain participate in the reception, comprehension and production of language. These include the classical 'primary' language centers - Wernicke's area and Broca's area - along with several other brain structures.[87][88] Recent advances in functional neuroimaging technology have allowed for a better understanding of how language acquisition is manifested physically in the brain. Language acquisition almost always occurs in children during a period of rapid increase in brain volume. At this point in development, a child has many more neural connections than he or she will have as an adult, allowing for the child to be more able to learn new things than he or she would be as an adult.[89] Accordingly, the emergence of brain areas dedicated to language has been hypothesized to result from a combination of the genetically determined complexity of the human brain and the 'functional validation of synapses' during the extended period of human postnatal maturation that is unique among primates.[90]

Sensitive period

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Language acquisition has been studied from the perspective of developmental psychology and neuroscience,[91] which looks at learning to use and understand language parallel to a child's brain development. It has been determined, through empirical research on developmentally normal children, as well as through some extreme cases of language deprivation, that there is a "sensitive period" of language acquisition in which human infants have the ability to learn any language. Several researchers have found that from birth until the age of six months, infants can discriminate the phonetic contrasts of all languages. Researchers believe that this gives infants the ability to acquire the language spoken around them. After this age, the child is able to perceive only the phonemes specific to the language being learned. The reduced phonemic sensitivity enables children to build phonemic categories and recognize stress patterns and sound combinations specific to the language they are acquiring.[92] As Wilder Penfield noted, "Before the child begins to speak and to perceive, the uncommitted cortex is a blank slate on which nothing has been written. In the ensuing years much is written, and the writing is normally never erased. After the age of ten or twelve, the general functional connections have been established and fixed for the speech cortex." According to the sensitive or critical period models, the age at which a child acquires the ability to use language is a predictor of how well he or she is ultimately able to use language.[93] However, there may be an age at which becoming a fluent and natural user of a language is no longer possible; Penfield and Roberts (1959) cap their sensitive period at nine years old.[94] The human brain may very well be automatically wired to learn languages, but this ability does not last into adulthood in the same way that it exists during childhood.[95] By around age 12, language acquisition has typically been solidified, and it becomes more difficult to learn a language in the same way a native speaker would.[96] Just like children who speak, deaf children go through a critical period for learning language. Deaf children who acquire their first language later in life show lower performance in complex aspects of grammar.[97] At that point, it is usually a second language that a person is trying to acquire and not a first.[27]

Assuming that children are exposed to language during the critical period,[98] acquiring language is almost never missed by cognitively normal children. Humans are so well-prepared to learn language that it becomes almost impossible not to. Researchers are unable to experimentally test the effects of the sensitive period of development on language acquisition, because it would be unethical to deprive children of language until this period is over. However, case studies on abused, language-deprived children show that they exhibit extreme limitations in language skills, even after instruction.[99]

At a very young age, children can distinguish different sounds but cannot yet produce them. During infancy, children begin to babble. Deaf babies babble in the same patterns as hearing babies do, showing that babbling is not a result of babies simply imitating certain sounds, but is actually a natural part of the process of language development. Deaf babies do, however, often babble less than hearing babies, and they begin to babble later on in infancy—at approximately 11 months as compared to approximately 6 months for hearing babies.[100]

Prelinguistic language abilities that are crucial for language acquisition have been seen even earlier than infancy. There have been many different studies examining different modes of language acquisition prior to birth. The study of language acquisition in fetuses began in the late 1980s when several researchers independently discovered that very young infants could discriminate their native language from other languages. In Mehler et al. (1988),[101] infants underwent discrimination tests, and it was shown that infants as young as 4 days old could discriminate utterances in their native language from those in an unfamiliar language, but could not discriminate between two languages when neither was native to them. These results suggest that there are mechanisms for fetal auditory learning, and other researchers have found further behavioral evidence to support this notion. Fetus auditory learning through environmental habituation has been seen in a variety of different modes, such as fetus learning of familiar melodies,[102] story fragments (DeCasper & Spence, 1986),[103] recognition of mother's voice,[104] and other studies showing evidence of fetal adaptation to native linguistic environments.[105]

Prosody is the property of speech that conveys an emotional state of the utterance, as well as the intended form of speech, for example, question, statement or command. Some researchers in the field of developmental neuroscience argue that fetal auditory learning mechanisms result solely from discrimination of prosodic elements. Although this would hold merit in an evolutionary psychology perspective (i.e. recognition of mother's voice/familiar group language from emotionally valent stimuli), some theorists argue that there is more than prosodic recognition in elements of fetal learning. Newer evidence shows that fetuses not only react to the native language differently from non-native languages, but that fetuses react differently and can accurately discriminate between native and non-native vowel sounds (Moon, Lagercrantz, & Kuhl, 2013).[106] Furthermore, a 2016 study showed that newborn infants encode the edges of multisyllabic sequences better than the internal components of the sequence (Ferry et al., 2016).[107] Together, these results suggest that newborn infants have learned important properties of syntactic processing in utero, as demonstrated by infant knowledge of native language vowels and the sequencing of heard multisyllabic phrases. This ability to sequence specific vowels gives newborn infants some of the fundamental mechanisms needed in order to learn the complex organization of a language. From a neuroscientific perspective, neural correlates have been found that demonstrate human fetal learning of speech-like auditory stimuli that most other studies have been analyzing[clarification needed] (Partanen et al., 2013).[108] In a study conducted by Partanen et al. (2013),[108] researchers presented fetuses with certain word variants and observed that these fetuses exhibited higher brain activity in response to certain word variants as compared to controls. In this same study, "a significant correlation existed between the amount of prenatal exposure and brain activity, with greater activity being associated with a higher amount of prenatal speech exposure," pointing to the important learning mechanisms present before birth that are fine-tuned to features in speech (Partanen et al., 2013).[108]

The phases of language acquisition in children

Vocabulary acquisition

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Learning a new word, that is, learning to speak this word and speak it on the appropriate occasions, depends upon many factors. First, the learner needs to be able to hear what they are attempting to pronounce. Also required is the capacity to engage in speech repetition.[109][110][111][112] Children with reduced ability to repeat non-words (a marker of speech repetition abilities) show a slower rate of vocabulary expansion than children with normal ability.[113] Several computational models of vocabulary acquisition have been proposed.[114][115][116][117][118][119][120] Various studies have shown that the size of a child's vocabulary by the age of 24 months correlates with the child's future development and language skills. If a child knows fifty or fewer words by the age of 24 months, he or she is classified as a late-talker, and future language development, like vocabulary expansion and the organization of grammar, is likely to be slower and stunted.[citation needed]

Two more crucial elements of vocabulary acquisition are word segmentation and statistical learning (described above). Word segmentation, or the ability to break down words into syllables from fluent speech can be accomplished by eight-month-old infants.[44] By the time infants are 17 months old, they are able to link meaning to segmented words.[47]

Recent evidence also suggests that motor skills and experiences may influence vocabulary acquisition during infancy. Specifically, learning to sit independently between 3 and 5 months of age has been found to predict receptive vocabulary at both 10 and 14 months of age,[121] and independent walking skills have been found to correlate with language skills at around 10 to 14 months of age.[122][123] These findings show that language acquisition is an embodied process that is influenced by a child's overall motor abilities and development. Studies have also shown a correlation between socioeconomic status and vocabulary acquisition.[124]

Meaning

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Children learn, on average, ten to fifteen new word meanings each day, but only one of these can be accounted for by direct instruction.[125] The other nine to fourteen word meanings must have been acquired in some other way. It has been proposed that children acquire these meanings through processes modeled by latent semantic analysis; that is, when they encounter an unfamiliar word, children use contextual information to guess its rough meaning correctly.[125] A child may expand the meaning and use of certain words that are already part of their mental lexicon in order to denominate anything that is somehow related but for which they do not know the specific word. For instance, a child may broaden the use of mummy and dada in order to indicate anything that belongs to their mother or father, or perhaps every person who resembles their own parents; another example might be to say rain while meaning I don't want to go out.[126]

There is also reason to believe that children use various heuristics to infer the meaning of words properly. Markman and others have proposed that children assume words to refer to objects with similar properties ("cow" and "pig" might both be "animals") rather than to objects that are thematically related ("cow" and "milk" are probably not both "animals").[127] Children also seem to adhere to the "whole object assumption" and think that a novel label refers to an entire entity rather than to one of its parts.[127] This assumption along with other resources, such as grammar and morphological cues or lexical constraints, may help the child in acquiring word meaning, but conclusions based on such resources may sometimes conflict.[128]

Genetic and neurocognitive research

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According to several linguists, neurocognitive research has confirmed many standards of language learning, such as: "learning engages the entire person (cognitive, affective, and psychomotor domains), the human brain seeks patterns in its searching for meaning, emotions affect all aspects of learning, retention and recall, past experience always affects new learning, the brain's working memory has a limited capacity, lecture usually results in the lowest degree of retention, rehearsal is essential for retention, practice [alone] does not make perfect, and each brain is unique" (Sousa, 2006, p. 274). In terms of genetics, the gene ROBO1 has been associated with phonological buffer integrity or length.[129]

Genetic research has found two major factors predicting successful language acquisition and maintenance. These include inherited intelligence, and the lack of genetic anomalies that may cause speech pathologies, such as mutations in the FOXP2 gene which cause verbal dyspraxia. The role of inherited intelligence increases with age, accounting for 20% of IQ variation in infants, and for 60% in adults. It affects a vast variety of language-related abilities, from spatio-motor skills to writing fluency. There have been debates in linguistics, philosophy, psychology, and genetics, with some scholars arguing that language is fully or mostly innate, but the research evidence points to genetic factors only working in interaction with environmental ones.[130]

Although it is difficult to determine without invasive measures which exact parts of the brain become most active and important for language acquisition, fMRI and PET technology has allowed for some conclusions to be made about where language may be centered. Kuniyoshi Sakai has proposed, based on several neuroimaging studies, that there may be a "grammar center" in the brain, whereby language is primarily processed in the left lateral premotor cortex (located near the pre central sulcus and the inferior frontal sulcus). Additionally, these studies have suggested that first language and second language acquisition may be represented differently in the cortex.[27] In a study conducted by Newman et al., the relationship between cognitive neuroscience and language acquisition was compared through a standardized procedure involving native speakers of English and native Spanish speakers who all had a similar length of exposure to the English language (averaging about 26 years). It was concluded that the brain does in fact process languages differently[clarification needed], but rather than being related to proficiency levels, language processing relates more to the function of the brain itself.[131]

During early infancy, language processing seems to occur over many areas in the brain. However, over time, it gradually becomes concentrated into two areas—Broca's area and Wernicke's area. Broca's area is in the left frontal cortex and is primarily involved in the production of the patterns in vocal and sign language. Wernicke's area is in the left temporal cortex and is primarily involved in language comprehension. The specialization of these language centers is so extensive[clarification needed] that damage to them can result in aphasia.[132]

Language diversity

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Kelly et al. (2015: 286) comment that “There is a dawning realization that the field of child language needs data from the broadest typological array of languages and language-learning environments.”[133] This realization is part of a broader recognition in psycholinguistics for the need to document diversity.[134][135][136] Children's linguistic accomplishments are all the more impressive with recognition of the diversity that exists at every level of the language system.[137] Different levels of grammar interact in language-specific ways so that differences in morphosyntax build on differences in prosody, which in turn reflect differences in conversational style. The diversity of adult languages results in diverse child language phenomena that challenge every acquisition theory.

One such challenge is to explain how children acquire complex vowels in Otomanguean and other languages. The complex vowels in these languages combine oral and laryngeal gestures produced with laryngeal constriction [ʔ] or laryngeal spreading [h]. The production of the laryngealized vowels is complicated by the production of tonal contrasts, which rely upon contrasts in vocal fold vibration. Otomanguean languages manage the conflict between tone and laryngeal gesture by timing the gesture at the start, middle or end of the vowel, e.g. ʔV, VʔV and Vʔ. The phonetic realization of laryngealized vowels gives rise to the question of whether children acquire laryngealized vowels as single phonemes or sequences of phonemes. The unit analysis enlarges the vowel inventory but simplifies the syllable inventory, while the sequence analysis simplifies the vowel inventory but complicates the syllable inventory. The Otomanguean languages exhibit language-specific differences in the types and timing of the laryngeal gestures, and thus children must learn the specific laryngeal gestures that contribute to the phonological contrasts in the adult language.[138]

An acquisition challenge in morphosyntax is to explain how children acquire ergative grammatical structures. Ergative languages treat the subject of intransitive verbs like the object of transitive verbs at the level of morphology, syntax or both. At the level of morphology, ergative languages assign an ergative marker to the subject of transitive verbs. The ergative marking may be realized by case markers on nouns or agreement markers on verbs.[139][140] At the level of syntax, ergative languages have syntactic operations that treat the subject of transitive verbs differently from the subject of intransitive verbs. Languages with ergative syntax like K'iche' may restrict the use of subject questions for transitive verbs but not intransitive verbs. The acquisition challenge that ergativity creates is to explain how children acquire the language-specific manifestations of morphological and syntactic ergativity in the adult languages.[141] The Mayan language Mam has ergative agreement making on its transitive verbs but extends the ergative marking to both the subject of intransitive verbs and the object of transitive verbs yielding transitive verbs with two ergative agreement markers.[142] The contexts for extended ergative marking differ in type and frequency between Mayan languages, but two-year-old children produce extended ergative marking equally proficiently despite vast differences in the frequency of extended ergative marking in the adult languages.[83]

Children acquire language through exposure to a diverse variety of cultural practices.[143] Local groups vary in size and mobility depending on their means of subsistence. Some cultures require men to marry women who speak another language. Their children may be exposed to their mother's language for several years before moving in with their father and learning his language. Language groups have diverse beliefs about when children say their first words and what words they say. Such beliefs shape the time when parents perceive that children understand language. In many cultures, children hear more speech directed to others than to themselves, yet children acquire language in all cultures.

Documenting the diversity of child languages is made more urgent by the rapid loss of languages around the world.[144][145][146] It may not be possible to document child language in half of the world's languages by the end of this century.[147][148] Documenting child language should be a part of every language documentation project, and has an important role to play in revitalizing local languages.[149][150] Documenting child language preserves cultural modes of language transmission and can emphasize their significance throughout the language community.

Artificial intelligence

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Some algorithms for language acquisition are based on statistical machine translation.[151] Language acquisition can be modeled as a machine learning process, which may be based on learning semantic parsers[152] or grammar induction algorithms.[153][154]

Prelingual deafness

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Prelingual deafness is defined as hearing loss that occurred at birth or before an individual has learned to speak. In the United States, 2 to 3 out of every 1000 children are born deaf or hard of hearing. Even though it might be presumed that deaf children acquire language in different ways since they are not receiving the same auditory input as hearing children, many research findings indicate that deaf children acquire language in the same way that hearing children do and when given the proper language input, understand and express language just as well as their hearing peers. Babies who learn sign language produce signs or gestures that are more regular and more frequent than hearing babies acquiring spoken language. Just as hearing babies babble, deaf babies acquiring sign language will babble with their hands, otherwise known as manual babbling. Therefore, as many studies have shown, language acquisition by deaf children parallels the language acquisition of a spoken language by hearing children because humans are biologically equipped for language regardless of the modality.

Signed language acquisition

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Deaf children's visual-manual language acquisition not only parallel spoken language acquisition but by the age of 30 months, most deaf children that were exposed to a visual language had a more advanced grasp with subject-pronoun copy rules than hearing children. Their vocabulary bank at the ages of 12–17 months exceed that of a hearing child's, though it does even out when they reach the two-word stage. The use of space for absent referents and the more complex handshapes in some signs prove to be difficult for children between 5 and 9 years of age because of motor development and the complexity of remembering the spatial use.

Cochlear implants

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Other options besides sign language for kids with prelingual deafness include the use of hearing aids to strengthen remaining sensory cells or cochlear implants to stimulate the hearing nerve directly. Cochlear implants (often known simply as CIs) are hearing devices that are placed behind the ear and contain a receiver and electrodes which are placed under the skin and inside the cochlea. Despite these developments, there is still a risk that prelingually deaf children may not develop good speech and speech reception skills. Although cochlear implants produce sounds, they are unlike typical hearing and deaf and hard of hearing people must undergo intensive therapy in order to learn how to interpret these sounds. They must also learn how to speak given the range of hearing they may or may not have. However, deaf children of deaf parents tend to do better with language, even though they are isolated from sound and speech because their language uses a different mode of communication that is accessible to them: the visual modality of language.

Although cochlear implants were initially approved for adults, now there is pressure to implant children early in order to maximize auditory skills for mainstream learning which in turn has created controversy around the topic. Due to recent advances in technology, cochlear implants allow some deaf people to acquire some sense of hearing. There are interior and exposed exterior components that are surgically implanted. Those who receive cochlear implants earlier on in life show more improvement on speech comprehension and language. Spoken language development does vary widely for those with cochlear implants though due to a number of different factors including: age at implantation, frequency, quality and type of speech training. Some evidence suggests that speech processing occurs at a more rapid pace in some prelingually deaf children with cochlear implants than those with traditional hearing aids. However, cochlear implants may not always work.

Research shows that people develop better language with a cochlear implant when they have a solid first language to rely on to understand the second language they would be learning. In the case of prelingually deaf children with cochlear implants, a signed language, like American Sign Language would be an accessible language for them to learn to help support the use of the cochlear implant as they learn a spoken language as their L2. Without a solid, accessible first language, these children run the risk of language deprivation, especially in the case that a cochlear implant fails to work. They would have no access to sound, meaning no access to the spoken language they are supposed to be learning. If a signed language was not a strong language for them to use and neither was a spoken language, they now have no access to any language and run the risk of missing their critical period.

In June 2024, a cross-sectional study that the notable academic journal Scientific Reports published cautioned that "children with CIs exhibit significant variability in speech and language development": both "with too many recipients demonstrating suboptimal outcomes" and also with the investigations of those individuals broadly being "not well defined for prelingually deafened children with CIs, for whom language development is ongoing." The authors found that "the relationships between spectral resolution, temporal resolution, and speech recognition are well defined in adults with cochlear implants (CIs)" in contrast to the situation with children, and they concluded from their research that "[f]urther investigation is warranted to better understand the relationships between spectral resolution, temporal resolution, and speech recognition so that" medical experts methodologically "can identify the underlying mechanisms driving auditory-based speech perception in children with CIs."[155]

See also

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Language acquisition is the process by which humans develop the capacity to perceive, comprehend, and produce to communicate ideas and needs, encompassing both first-language development in infants and children and subsequent learning in adolescents and adults. In first-language acquisition, children progress through distinct stages, beginning with prelinguistic vocalizations like and cooing around birth, followed by at 4-6 months, single-word (holophrastic) utterances at 12 months, two-word combinations at 18-24 months, and by age 2-3, culminating in complex mastery by school age. This rapid development occurs despite limited and often imperfect input from caregivers, a phenomenon known as the , which has fueled debates on underlying mechanisms. Major theoretical frameworks explain these processes: nativism, pioneered by , posits an innate Universal Grammar and a language acquisition device (LAD) in the brain that enables children to deduce grammatical rules subconsciously. In contrast, , as articulated by , attributes language learning to environmental , , and , where verbal behaviors are shaped by rewards and punishments. Cognitivism, drawing from Jean Piaget's stages of cognitive growth, suggests language emerges as a reflection of advancing mental structures, with sensorimotor and preoperational phases laying foundations for symbolic thought and syntax. Interactionism integrates social and cultural elements, emphasizing Vygotsky's , where scaffolded interactions with caregivers—such as child-directed speech—facilitate acquisition through collaborative dialogue. shares similarities but is influenced by factors like age, proficiency in the first language, and immersion, often proving more effortful after due to a proposed ending around age 12-13, beyond which neural plasticity for native-like fluency diminishes. Research continues to explore neurobiological underpinnings, including brain regions like Broca's and Wernicke's areas, and the role of , such as the gene, in supporting these abilities across diverse linguistic environments.

Introduction and Historical Context

Definition and Stages of Acquisition

Language acquisition refers to the process by which humans develop the ability to perceive, comprehend, and produce spoken or signed language to communicate. This capacity emerges naturally in through interaction with the linguistic environment, enabling individuals to grasp , syntax, semantics, and . The process unfolds in distinct developmental stages, beginning with pre-linguistic vocalizations and progressing to complex grammatical structures. In the pre-linguistic stage (0-12 months), infants produce reflexive cries, cooing sounds around 2-3 months, and canonical babbling by 6-10 months, where syllable-like units such as "ba-ba" emerge, laying the foundation for . The holophrastic stage (12-18 months) follows, marked by the use of single words to convey whole ideas, such as "milk" meaning "I want milk," with children typically uttering their first word around 12 months. From 18-24 months, children enter the two-word stage, combining words into simple phrases like "want cookie" (), omitting function words and inflections while focusing on content. Beyond 24 months, multi-word utterances expand into complex sentences, incorporating grammatical morphemes and , such as forming questions or negations, with vocabulary growing rapidly. Key milestones include the first word at approximately 12 months, followed by a vocabulary explosion between 18-24 months, where lexical growth accelerates from 1-2 words per week to over 20 words per week once reaching about 50 words. Overregularization errors, such as saying "goed" instead of "went," typically appear around 2-4 years as children apply regular grammatical rules to irregular forms before mastering exceptions. First language acquisition (L1) occurs naturally in infancy and through immersion, often resulting in native-like proficiency by age 5-6, whereas (L2) involves older children or adults learning an additional language, which may be influenced by prior L1 and often achieves less complete mastery without full immersion. This distinction highlights sensitive periods in early development that facilitate L1 attainment more readily than L2.

Historical Development

The study of language acquisition has roots in ancient philosophical debates about the origins of knowledge. In ancient Greece, Plato posited that humans possess innate ideas, suggesting that learning, including linguistic understanding, involves recollecting pre-existing knowledge from the soul's prior exposure to eternal forms, as illustrated in his dialogue Meno where a slave boy demonstrates geometric insights without formal instruction. In contrast, Aristotle advocated an empiricist approach, arguing that all knowledge, encompassing language development, arises from sensory experience and observation of the world, rejecting innate ideas in favor of inductive reasoning from particulars to universals. These early tensions between nativism and persisted into the 17th and 18th centuries, shaping Enlightenment views on the mind. famously proposed the concept of the , or blank slate, in his Essay Concerning Human Understanding (1690), asserting that the human mind at birth is devoid of innate content and that language and all ideas are acquired solely through sensory experiences and reflection, influencing empiricist theories of learning as environmental molding. The marked a pivotal shift with the dominance of in and . B.F. Skinner's (1957) framed language acquisition as a product of , where verbal responses are shaped by environmental reinforcements and stimuli, extending behavioral principles to explain how children learn speech through imitation and reward. This perspective was sharply critiqued by in his 1959 review, which highlighted the inadequacies of in accounting for the rapid, creative aspects of child language use and propelled the field toward cognitivism, emphasizing internal mental processes. Post-1960s developments saw the emergence of functionalist approaches, integrating social and communicative dimensions. Michael Halliday's , developed in the 1970s, viewed language acquisition as a social semiotic process where children progressively learn to "mean" through functions like (needs), regulatory (control), and (exploration), based on observations of his son's early speech from age nine months to two years. By the 1990s, the field began incorporating , with studies using techniques like event-related potentials to reveal mechanisms in infant and processing, such as sensitivity to phonetic contrasts emerging around six months. In the post-2000 era, and have transformed research through corpus-based studies, enabling large-scale analysis of child language input and output. Projects like the CHILDES database, expanded with AI tools for , have illuminated usage patterns in acquisition, such as frequency effects on vocabulary growth, while models simulate developmental trajectories from naturalistic corpora.

Key Theorists and Milestones

Noam Chomsky, a pivotal figure in modern linguistics, proposed the concept of universal grammar in his 1965 book Aspects of the Theory of Syntax, arguing that humans possess an innate linguistic capacity enabling the acquisition of any natural language despite limited environmental input. This framework shifted the field toward generative theories, emphasizing internal cognitive structures over purely behavioral explanations. B.F. Skinner, a leading behaviorist psychologist, countered such views in his 1957 book Verbal Behavior, where he analyzed language as operant behavior shaped by reinforcement and environmental contingencies, applying principles of operant conditioning to verbal responses like manding and tacting. Lev Vygotsky, a Soviet psychologist active in the 1930s, introduced the zone of proximal development (ZPD), describing it as the gap between a child's independent capabilities and potential achievements through social interaction and guidance, which underscored the role of cultural and interpersonal contexts in language learning. Jean Piaget, through his extensive work from the 1920s to the 1970s, integrated language development into his stages of cognitive growth—sensorimotor, preoperational, concrete operational, and formal operational—positing that linguistic progress depends on underlying cognitive maturation, such as the emergence of symbolic thought in the preoperational stage (ages 2-7). The publication of Skinner's Verbal Behavior in ignited a major debate in language acquisition by framing verbal skills as learned behaviors, prompting widespread empirical scrutiny of reinforcement-based models. This tension culminated in Chomsky's influential 1959 review of the book in , where he critiqued Skinner's approach for inadequately accounting for the creativity and rapidity of child language learning, thereby catalyzing the in and . In the 1970s, Dan Slobin's cross-linguistic studies, including analyses of child acquisition in languages like English, Italian, and Turkish, revealed developmental universals such as the "operating principles" guiding formation across diverse linguistic environments, advancing comparative methods in the field. The 1980s saw Chomsky refine his nativist stance through "" arguments, exemplified in works like Rules and Representations (1980), which demonstrated that children infer complex grammatical rules from insufficient and often erroneous input, supporting innate linguistic constraints. Technological milestones in the 1990s included the first applications of (PET) and (fMRI) to language processing, with early studies mapping brain activation during tasks like verb generation and sentence comprehension, revealing networks involving Broca's and Wernicke's areas. These neuroimaging advances provided empirical validation for cognitive models, bridging theoretical debates with neural evidence. In the , genome-wide association studies (GWAS) identified variants in the gene linked to speech and language disorders, such as , highlighting genetic underpinnings while confirming FOXP2's role in oromotor control and syntactic processing across populations. These developments collectively propelled the field from philosophical and behavioral foundations toward integrated biological, cognitive, and cross-cultural perspectives.

Biological and Cognitive Foundations

Uniqueness to Humans

Language acquisition is a capacity largely unique to , distinguishing from other through a combination of anatomical, cognitive, and evolutionary adaptations that enable the development of complex, generative communication systems. Unlike , which is typically limited to immediate contexts and fixed signals, allows for abstract expression, infinite , and cultural transmission across generations. This uniqueness arises from specific biological prerequisites that support the production and comprehension of diverse linguistic structures. A key biological foundation is the anatomy of the human vocal tract, which descended during to allow for the articulation of a wide range of phonemes essential for speech. This reconfiguration, including a lowered and a more flexible , enables the production of distinct vowels and consonants that form the building blocks of , a capability not found in other whose vocal tracts are adapted primarily for survival functions like and . Additionally, humans possess an expanded compared to other animals, which supports the processing of by facilitating hierarchical rule application in sentence formation. These anatomical and neural features provide the physical basis for acquiring and using during early development. Cognitively, human language acquisition is characterized by features such as —embedding phrases within phrases to create unlimited expressions—and displacement, the ability to refer to events displaced or space, which are absent in non-human communication. These properties were outlined in Charles Hockett's seminal 1960 framework of language design features, which highlight how human language's productivity and semanticity enable novel idea conveyance beyond instinctual signals. Such capacities allow children to acquire intuitively, generating sentences they have never heard, a process that underscores language's role in abstract thought and social coordination. Comparisons with animal communication further illustrate this uniqueness. For instance, in studies of chimpanzees like Washoe, who was taught , the primate acquired a of approximately 350 signs but failed to develop syntactic rules, combining signs in linear, non-hierarchical ways without true grammatical productivity. Similarly, bird song learning in species like songbirds involves innate predispositions and sensory-motor practice to mimic adult models, yet it remains non-generative, constrained to fixed repertoires for mating or territory rather than open-ended expression. These limitations highlight that while can learn communicative signals, they lack the recursive and displaced features central to human language acquisition. The of these human-specific traits is linked to an evolutionary timeline around 135,000 to 300,000 years ago, associated with the origins of anatomically modern Homo sapiens that enabled symbolic thinking and . This period saw the rapid development of art, tools, and social structures, suggesting language played a pivotal role in facilitating collective innovation. Briefly, genetic adaptations such as modifications in the gene, which influences vocal , represent a human-specific evolutionary tweak supporting speech development.

Neurological Mechanisms

Language acquisition involves specialized neural structures in the brain that process and represent linguistic information, with key regions including in the left , primarily responsible for and syntactic processing during development. supports the motor aspects of articulation and the of grammatical structures, showing increased as children progress from to forming complex sentences. Complementing this, , located in the posterior of the left hemisphere, plays a central role in language comprehension, enabling infants to interpret phonetic and semantic content from auditory input during early exposure. These regions are interconnected by the arcuate fasciculus, a tract that facilitates the integration of perceptual and productive language functions, with its maturation correlating to improvements in word retrieval and repetition skills in young children. Lateralization of language processing to the left hemisphere emerges progressively during early childhood, with functional asymmetry becoming more pronounced between ages 3 and 5 as vocabulary and syntax develop. In infants and toddlers, language tasks initially elicit bilateral activation, but by preschool age, left-hemisphere dominance strengthens, particularly in frontal and temporal areas, reflecting the brain's specialization for linguistic demands. This shift is supported by the brain's high plasticity in early years, allowing adaptive reorganization in response to linguistic input and environmental factors. Neuroimaging studies, such as (fMRI), reveal that even newborns exhibit distinct activation patterns for speech discrimination, with left temporal regions responding preferentially to native syllables over nonspeech sounds. For instance, Dehaene-Lambertz and colleagues demonstrated in the early 2000s that infants as young as 2 months show of phonetic contrasts in perisylvian areas, including precursors to Broca's and Wernicke's regions, indicating innate neural preparedness for processing. These findings highlight how early auditory exposure shapes cortical responses, with longitudinal fMRI tracking increased left-hemisphere engagement as children acquire phonological categories. Neural plasticity underpins the refinement of language skills through processes like and myelination, which occur prominently from birth through to optimize neural efficiency. eliminates excess connections in language-related networks, such as those in the , allowing frequently used pathways for and to strengthen based on experience. Concurrently, myelination of tracts like the arcuate fasciculus accelerates signal transmission, supporting faster comprehension and production; for example, language exposure in infancy correlates with advanced myelination in temporal and frontal lobes by toddlerhood. These mechanisms are most pronounced during sensitive periods, when the brain's adaptability to linguistic input is heightened.

Genetic Influences

Twin studies have provided robust evidence for the of language abilities, with estimates typically ranging from 40% to 70% for traits such as size and grammatical skills. For instance, meta-analyses of twin indicate that genetic factors account for approximately 50-80% of variance in early and around 40-60% in syntactic abilities, highlighting a substantial hereditary component in typical language acquisition. These findings, drawn from large cohorts in the and 2000s, underscore that while environment plays a role, genetic influences are predominant for core linguistic traits. A prominent example of a specific genetic contributor is the FOXP2 gene, first identified in the late 1990s as the locus underlying a familial form of speech and language impairment. Mutations in FOXP2 disrupt motor control mechanisms essential for articulation and sequencing of speech sounds, leading to challenges in verbal expression. Discovered through linkage analysis in a multigenerational family, FOXP2 encodes a transcription factor that regulates downstream genes involved in neural pathways for orofacial motor coordination. Beyond single genes, language-related traits exhibit a polygenic architecture, involving numerous genetic loci of small effect. Genome-wide association studies (GWAS) conducted since 2010 have identified multiple variants associated with reading ability and comprehension, such as those near genes influencing neuronal development. For example, large-scale meta-analyses have pinpointed over 20 loci contributing to individual differences in word reading and , emphasizing the distributed genetic basis rather than reliance on a single " gene." These polygenic influences interact with environmental factors to shape acquisition outcomes. From an evolutionary perspective, key variants in distinguish s from s and other , with two changes fixed on the lineage after the chimpanzee divergence but before the split from Neanderthals, approximately 400,000 to 700,000 years ago. This selective sweep likely enhanced neural circuits supporting complex vocalization, coinciding with the emergence of modern human speech capabilities.

Theoretical Approaches

Nativist Perspectives

Nativist perspectives assert that language acquisition is facilitated by an innate biological endowment, specifically (UG), a set of abstract principles and structures hardwired into the that defines the boundaries of possible human languages. Proposed by , UG serves as a cognitive module enabling children to interpret linguistic input and construct grammars rapidly and uniformly across diverse languages, without relying on general-purpose learning mechanisms. This innate system posits that while surface forms vary, core properties like phrase structure and movement operations are universally constrained, allowing acquisition to proceed efficiently despite environmental variability. A cornerstone of nativist theory is Chomsky's argument, which highlights that the linguistic data available to children—often fragmentary, inconsistent, and devoid of explicit correction for errors—is insufficient to induce the full complexity of through induction alone. In his seminal work, Chomsky illustrated this with examples such as the acquisition of structure-dependent rules for question formation, where children correctly apply transformations to auxiliary verbs across varied sentence types without exposure to all possibilities or negative feedback on ungrammatical forms. This implies that innate knowledge fills the gaps, guiding learners toward adult-like competence. Supporting evidence includes the swift mastery of recursive structures and binding principles in , phenomena that exceed the scope of typical input. For instance, children as young as three produce and comprehend recursively embedded clauses, generating novel sentences with multiple levels of embedding, despite caregivers rarely providing such complex exemplars. Similarly, experimental studies demonstrate that preschoolers adhere to binding Principle A, reflexives like "himself" requiring local antecedents, and Principle B, pronouns like "him" avoiding such binding, even in scenarios where pragmatic cues might suggest otherwise. These patterns suggest precocious access to UG constraints. Evolving from earlier formulations, Chomsky's theory in the conceptualized UG as comprising invariant principles—such as subjacency for movement constraints—and finite that are set by , akin to switches toggled by input. A representative is head-directionality, which determines whether heads (e.g., verbs) precede or follow complements, as in head-initial English versus head-final Japanese; children resolve this rapidly upon exposure to a few sentences. By the , the streamlined this framework, proposing Merge as the fundamental recursive operation that combines lexical elements to form hierarchical structures, deriving other syntactic properties from optimal computational design rather than language-specific stipulations. Although nativist theories have shaped linguistic inquiry, they face ongoing debate from empiricists who contend that domain-general learning processes can account for observed acquisition patterns without positing innate linguistic specificity.

Empiricist and Connectionist Models

Empiricist models of language acquisition posit that language emerges from general learning processes shaped by environmental input, without requiring innate linguistic structures. John Locke's concept of the mind as a , or blank slate, laid foundational groundwork by arguing that all knowledge, including language, arises from sensory experience and . B.F. Skinner extended this associationist tradition in the mid-20th century, proposing in that language is learned through , where verbal responses are reinforced by social and environmental contingencies, such as parental approval for correct utterances. These principles emphasize via exposure, imitation, and feedback, viewing language as a set of habits formed through repeated associations rather than predefined rules. Connectionist models build on empiricist foundations by simulating learning through parallel distributed processing in neural networks, where knowledge is represented as patterns of activation across interconnected units. David Rumelhart and James McClelland's seminal work in the introduced this approach, demonstrating how networks could acquire linguistic patterns, such as English past-tense verb forms, through exposure to input without explicit rules. In these models, learning occurs via weight adjustments between units, enabling the system to generalize from statistical regularities in data, much like human learners abstract patterns from speech. This framework shifted focus from symbolic rules to emergent behavior from distributed representations, influencing computational simulations of acquisition processes. A key mechanism in these models is statistical learning, where learners detect probabilistic patterns in input to segment and structure language. For instance, 8-month-old infants can identify word boundaries in continuous speech by tracking transitional probabilities between syllables, as shown in experiments where exposure to artificial languages led to preferential listening to probable sequences over improbable ones after just two minutes. This ability underscores how general-purpose , rather than linguistic-specific modules, supports early segmentation and in natural language environments. Chunking further illustrates empiricist principles, as frequent co-occurrences in input form multi-word units that children treat as holistic patterns before analyzing their components. Early utterances like "go " exemplify this, where high-frequency phrases are memorized and produced as chunks, facilitating gradual into individual words and relations through repeated exposure. Such processes align with associationist learning, building complexity from simple, input-driven associations. Neural network simulations have modeled vocabulary growth using Hebbian learning rules, where co-activated units strengthen connections, mimicking . The DevLex model, for example, employs self-organizing maps to simulate lexical development, predicting how phonological and semantic representations expand incrementally from input distributions, with vocabulary size correlating to network exposure and association strength. These simulations replicate observed trajectories in child language, such as rapid early growth followed by refinement, by relying solely on general learning mechanisms applied to linguistic data.

Interactionist and Social Theories

Interactionist and social theories of language acquisition emphasize the role of social interactions and cultural contexts in shaping how children develop linguistic abilities, viewing language not as an isolated cognitive process but as emerging from collaborative exchanges with more knowledgeable others. Lev Vygotsky's sociocultural theory, developed in the 1930s, posits that language serves as a primary tool for thought and higher mental functions, with its development occurring through social interactions that provide within the child's (ZPD)—the gap between what a child can achieve independently and what they can accomplish with guidance from adults or peers. In this framework, children internalize language structures initially externalized in social dialogues, such as explanations or joint problem-solving, gradually transforming them into self-regulating inner speech that supports cognitive growth. Building on behavioral traditions, (RFT), proposed by and colleagues in the 1990s, explains language acquisition as derived relational responding, where children learn to relate stimuli arbitrarily through verbal interactions rather than direct associations. According to RFT, foundational relational frames—such as coordination (e.g., "A is the same as B") or comparison (e.g., "A is opposite to B")—emerge from social contingencies in everyday conversations, enabling the flexible derivation of novel meanings without explicit training. This process is inherently social, as caregivers reinforce relational responses during interactions, fostering the generalized operant of relating that underpins complex language use, including and semantics. Central to these theories are caregiver-child dynamics, where specific interactional features facilitate acquisition. Child-directed speech (CDS), characterized by higher (pitch), slower tempo, exaggerated intonation, and simplified syntax, captures infants' and highlights key linguistic elements, promoting and word segmentation. episodes, in which caregivers and children mutually focus on an object or event while coordinating and gestures, further enhance learning by creating shared referential contexts that link words to meanings; for instance, a parent pointing to a and naming it during coordinated helps the child map novel . Empirical evidence underscores the superiority of interactive over passive exposure in language development. Michael Tomasello's research in the 1990s and 2000s demonstrated that toddlers acquire novel verbs and understand intentions more effectively in social-pragmatic contexts involving live interaction and , compared to passive listening or video presentations, where learning rates drop significantly due to the absence of contingent responsiveness. For example, in experiments, children exposed to interactive word-learning scenarios with caregivers showed accelerated vocabulary growth and syntactic generalization, attributing this to the that signal communicative intent. These findings align with observations, confirming that socially embedded input drives robust acquisition across diverse linguistic environments.

Usage-Based and Emergentist Frameworks

Usage-based and emergentist frameworks in language acquisition emphasize that linguistic abilities develop through general cognitive mechanisms, such as and statistical learning, applied to the frequencies and patterns encountered in everyday language use, rather than relying on domain-specific innate structures. This perspective, advanced by in his 2003 book Constructing a Language, posits that children build their grammatical knowledge incrementally from concrete experiences with language, drawing on intention-reading and categorization skills shared with other domains of . Similarly, Joan Bybee's work in the early 2000s highlights how repeated exposure to phonetic and morphological forms leads to entrenched schemas that influence production and comprehension, as detailed in her 2001 volume Phonology and Language Use. In these models, language emerges as a dynamic system shaped by usage, where high-frequency items become more automatized and resistant to change over time. A key feature of this approach is the item-based nature of early syntactic development, where children initially learn language in specific, concrete constructions tied to particular words or phrases before abstracting more general rules. For instance, young children might produce utterances like "want cookie" or "see dog" as isolated verb-specific patterns, using the verb "want" productively with concrete objects but not yet generalizing it to abstract or novel complements. This piecemeal construction process, observed in longitudinal studies of child speech, suggests that grammar arises from the accumulation and generalization of these item-based schemas through repeated exposure, rather than from an initial mastery of abstract categories. Over time, as children encounter diverse exemplars, these specific patterns overlap and integrate, forming broader productivity, such as applying transitive constructions across verbs. Cross-linguistic evidence supports this emergentist view by demonstrating how children adapt to the unique properties of their input through flexible operating principles that guide perceptual and analytical strategies. Dan Slobin's research from the 1970s and 1980s, particularly in The Crosslinguistic Study of Language Acquisition (Volume 2, 1985), identifies principles such as "operating on basic " or "paying attention to the ends of words for morphological cues," which enable children to segment and input tailored to typological features like agglutinative versus fusional morphology. For example, Turkish-speaking children prioritize suffixation early due to the language's rich morphology, while English learners focus on , illustrating how usage patterns in the environment drive language-specific trajectories without universal presets. These frameworks critique nativist accounts by arguing that the apparent complexity of human language results from iterative learning processes, where generalizations from frequent input accumulate to produce rule-like behaviors over developmental time. Tomasello contends that phenomena traditionally attributed to an innate , such as recursive , can be explained through children's ability to extend item-based constructions via and , supported by experimental evidence from comprehension tasks showing gradual . Bybee extends this to , demonstrating that sound changes and allomorphy emerge from token frequency effects in usage, as seen in diachronic data where high-frequency words preserve older forms. accelerates this emergence by providing contextualized, interactive input that highlights communicative intentions.

Core Processes of Acquisition

Phonological Development

Phonological development encompasses the acquisition of a language's sound system, beginning with perceptual abilities at birth and progressing to articulate production by the second year of life. Newborns demonstrate a universal capacity to discriminate phonetic contrasts from diverse languages, including non-native ones such as dental-retroflex stops or Zulu clicks, but this broad sensitivity undergoes perceptual narrowing, tuning to the native language's by around 10-12 months of age. This process, first systematically documented in cross-language studies, reflects an interaction between innate perceptual mechanisms and environmental input, where exposure to native sounds strengthens relevant categories while diminishing responsiveness to others. In production, infants progress through distinct vocal stages that lay the foundation for . From 2 to 4 months, cooing emerges, characterized by extended vowel-like sounds and marginal approximations produced with smooth . By 6 months, begins with reduplicated syllables, advancing to canonical between 7 and 10 months, featuring well-formed -vowel (CV) sequences like /baba/ or /dada/ that approximate adult structures. These milestones mark the transition from reflexive vocalizations to intentional sound play, with first words around 12 months typically consisting of simple CV or CVCV forms, such as "mama" or "dada." Early child speech often involves systematic simplifications of adult forms through phonological processes, enabling production within the child's developing articulatory capabilities. Common processes include assimilation, where a sound changes to match a neighboring one (e.g., "pasketti" for "spaghetti," with the initial /s/ assimilating to /p/); deletion, omitting syllables or consonants (e.g., "nana" for "banana"); and substitution, replacing difficult sounds with easier ones (e.g., /w/ for /r/ in "wabbit" for "rabbit"). These patterns, observed across children, reflect universal tendencies in phonological organization but resolve gradually with maturation and input. Cross-linguistic variations highlight how phonological acquisition adapts to a language's sound inventory. In English, a non-tonal language, infants prioritize contrasts early, with perceptual narrowing for stops and fricatives by 9-12 months, while perception stabilizes sooner. In contrast, Mandarin learners, exposed to a tonal system, maintain sensitivity to lexical tones—pitch patterns distinguishing word meanings—beyond the point where non-tonal learners lose it, showing narrowing for tones around 9 months but retaining broader discrimination initially. This differential attunement underscores the role of in shaping the trajectory of sound system mastery. As grows, children's phonemic inventory expands, incorporating more native contrasts into production.

Lexical and Vocabulary Growth

Children typically acquire their first words between 10 and 18 months of age, building an initial of around 50 words by 18 months, primarily consisting of concrete nouns referring to familiar objects and actions. This early grows slowly at first but undergoes a rapid expansion, known as the vocabulary spurt, around 18 to 24 months, where children can add 10 to 20 words per day, reaching approximately 200-300 words by age 2 and expanding to 2,600-7,000 by age 6. A key mechanism facilitating this growth is fast mapping, the ability to infer and partially acquire the meaning of a new word from limited contextual exposure, often after just one or a few encounters. This process, first demonstrated in experimental studies with novel terms like "" and "zav," allows children to form initial lexical representations quickly, though full mastery may require additional exposures over time. In building their lexicon, children employ various acquisition strategies that reflect both their developing cognitive abilities and the constraints of early word learning. Overextension occurs when a child applies a known word to a broader category than its adult meaning, such as using "dog" to label all four-legged animals, which helps test and expand semantic boundaries. Conversely, underextension involves restricting a word's application more narrowly than intended, for example, calling only the family pet "dog" while excluding other canines, often due to limited exposure or perceptual salience. Another prominent strategy is the mutual exclusivity bias, where children assume that objects have only one label, leading them to map a word to an unnamed object in task rather than a known one, thereby accelerating acquisition by avoiding overlap in referents. Word learning is further guided by specific constraints that help children map labels efficiently to concepts. For nouns, the shape bias directs children to generalize new words to objects sharing the same shape over those with similar color or texture, emerging strongly around 2 years and aiding the categorization of artifacts like toys or tools. In the case of verbs, syntactic bootstrapping enables children to infer meanings from the surrounding sentence structure; for instance, hearing "the duck is gorping the rabbit" (transitive frame) prompts an action interpretation, facilitating lexical entry for relational terms. These biases, supported by phonological awareness of word forms, ensure that lexical growth aligns with perceptual and structural cues in the input. The order and pace of vocabulary acquisition are influenced by properties of the linguistic input, particularly word frequency and iconicity. High-frequency words, such as basic nouns like "ball" or "milk," are learned earlier due to repeated exposure in child-directed speech, with corpus analyses showing that early-acquired items appear up to 10 times more often than later ones. Iconicity, where a word's form resembles its meaning (e.g., onomatopoeic terms like "meow"), also plays a role, as children produce more iconic words in their first 100-200 lexical items, though its effect diminishes as abstract vocabulary grows. Together, these factors shape a trajectory where concrete, frequent, and perceptually salient words form the foundation of lexical development.

Syntactic and Morphological Acquisition

Syntactic acquisition in young children typically begins with the emergence of two-word combinations around 18 to 24 months of age, marking a transition from single-word utterances to simple phrases that often follow semantic relations such as agent-action (e.g., "Mommy hit") or possessor-possessed (e.g., "my shoe"). These early constructions, known as , omit function words and inflections, focusing on to convey basic meanings, and reflect the child's initial attempts to structure sentences. The (MLU), calculated as the average number of morphemes per utterance, serves as a key measure of syntactic progress; during this stage, MLU typically ranges from 1.0 to 2.0, increasing as children combine more elements. Morphological development involves the gradual mastery of inflections that modify word forms to indicate , such as tense, number, and case. In English, children often overgeneralize regular rules to irregular verbs, producing forms like "runned" instead of "ran," which demonstrates their application of productive morphological rules rather than rote . According to the maturational model proposed by and Wexler, the acquisition of tense-marking morphemes (e.g., third-person singular -s, -ed, progressive -ing) follows a predictable order tied to developmental maturity, with full mastery not occurring until around age 4 in typically developing children, as these forms cluster late in the sequence of grammatical development. Evidence for the productivity of morphological rules comes from experimental paradigms like the Wug test, where children aged 4 to 7 pluralized novel words (e.g., "wug" to "wugs") by applying the regular -s suffix, indicating of learned patterns to unfamiliar items rather than . This underscores that children internalize abstract rules governing early on. growth provides the necessary building blocks for these syntactic and morphological structures, as a sufficient enables combination. Cross-linguistically, the timeline for morphological acquisition varies by language structure; in agglutinative languages like Turkish, where morphemes stack sequentially to mark multiple grammatical features on a single root (e.g., ev-ler-im-de "in my houses"), children demonstrate productive use of inflections as early as before age 2, achieving near-error-free command by age 3 due to the language's transparent morphology.

Semantic and Pragmatic Understanding

Semantic development in children progresses from basic word meanings to understanding relational semantics, such as hyponymy (e.g., "" as a subordinate to ""), synonyms (e.g., "happy" and "joyful"), and antonyms (e.g., "big" and "small"), which typically emerge around age 4. By this stage, children can associate words based on these relations, demonstrating an ability to categorize and compare concepts hierarchically and contrastively. This relational grasp supports broader conceptual organization and is closely linked to development, where mastery of false belief tasks—recognizing that others hold different mental states—occurs between ages 4 and 5, relying on semantic knowledge of terms like "think" and "believe." Pragmatic understanding involves applying social rules to language use, including adaptations of Gricean such as (providing contextually appropriate information), which children begin to recognize by age 3 through sensitivity to conversational violations. Politeness forms, like indirect requests (e.g., "Could you pass the ball?" instead of "Give me the ball"), emerge in stages: direct imperatives dominate up to age 4, syntactic modifications (e.g., questions) appear by age 6, and fully indirect strategies solidify around age 8, reflecting growing awareness of implicatures that convey intent beyond literal words. Implicatures, such as scalar ones (e.g., "some" implying "not all"), show developmental patterns where younger children favor logical (literal) interpretations over pragmatic inferences, as evidenced by their higher acceptance of statements compatible with stronger alternatives compared to adults. Evidence from studies highlights gradual advances in these areas; for instance, comprehension—interpreting non-literal comparisons like "that cloud is a sheep"—improves significantly after age 5, with 5- to 8-year-olds showing higher accuracy and faster response times than younger peers. provide essential support by aiding the of semantic relations in . Early challenges include overliteral interpretations, where children adhere strictly to word meanings without inferring implied social or contextual nuances, leading to misunderstandings in pragmatic scenarios like implicatures or metaphors until mid-childhood refinements occur.

Critical Influences and Variations

Sensitive Periods

The sensitive periods hypothesis, often referred to as the , proposes that language acquisition is most effective during biologically constrained windows of heightened brain plasticity, primarily from birth to , after which learning becomes progressively more difficult. This concept was introduced by Eric Lenneberg in his seminal 1967 work Biological Foundations of Language, where he linked the period to the maturation of cerebral lateralization and overall neural development, suggesting peak plasticity aligns with this timeframe to facilitate innate language capacities. Unlike rigid "critical" periods in other species, human language sensitive periods allow some residual learning post-window but with diminished efficiency and native-like proficiency. Evidence for these periods has been drawn from extreme cases of , such as the 1970s case of , a girl deprived of linguistic input until age 13, who exhibited profound deficits in syntactic and grammatical development despite years of intervention, achieving only telegraphic-like speech without full recovery. Similarly, studies of other feral children, like , reinforce that post-puberty exposure yields incomplete acquisition, supporting Lenneberg's timeline, though such cases are confounded by co-occurring abuse and neglect. Cross-species analogies, particularly in oscine songbirds, provide biological parallels: juveniles must hear tutor songs during a sensory phase (roughly equivalent to infancy) followed by a sensorimotor practice phase to crystallize species-typical vocalizations, after which plasticity wanes, akin to human phonological and syntactic consolidation. Recent research (as of 2025) has intensified debates on the strictness of the , with reviews indicating mixed evidence, particularly for , and no sharp neural cutoff at . studies show protracted plasticity into and adulthood, influenced by factors like and immersion, while individual genetic variations (e.g., in ) may extend or modulate period boundaries. Sensitive periods differ across language domains, reflecting sequential neural maturation. Phonological sensitivity, crucial for native sound categorization, closes earliest, around 12 months, as infants lose discrimination for non-native contrasts without sustained exposure. Syntactic and morphological acquisition extends to approximately 7-12 years, allowing complex rule integration but with increasing reliance on explicit instruction beyond early childhood. For second-language accent, the window typically ends at puberty, with post-adolescent learners rarely attaining native-like phonetics due to entrenched first-language articulatory patterns. At the neurobiological level, the closure of these periods involves reduced synaptic plasticity, particularly diminished long-term potentiation (LTP)—the process of strengthening neural connections essential for encoding linguistic patterns—in auditory and language-related cortical areas. This decline in LTP efficacy post-puberty limits the brain's adaptability to novel linguistic inputs, though various genetic influences may modulate period boundaries across individuals.

Role of Input and Environment

The and quality of linguistic input play pivotal roles in shaping language acquisition outcomes, with seminal research highlighting stark disparities in child-directed speech across socioeconomic groups. In a of 42 American families, Hart and Risley (1995) found that children from professional families were exposed to approximately 45 million words by age 3, compared to 30 million for working-class children and 25 million for those on welfare, translating to a roughly 18,000-word-per-day gap between the highest and lowest (SES) groups. However, this study has faced significant methodological criticism, including its small sample size, focus solely on child-directed speech (omitting overheard language), and potential biases in recording; recent replications suggest the disparities may be smaller when measuring total input or in diverse populations. This disparity in input correlated strongly with later measures of vocabulary size and IQ, with higher-exposure children showing advantages of up to 3 million words in cumulative experience by , underscoring how environmental input influences , though exact magnitudes remain debated. Beyond sheer volume, the quality and structure of input—particularly the presence of corrective and supportive conversational techniques—further modulate acquisition. Caregivers frequently employ recasts, which involve reformulating a 's erroneous into a correct form without direct interruption (e.g., child: "I runned"; : "You ran fast!"), and expansions, which build on the 's statement by adding grammatical or semantic details (e.g., : "Dog"; : "Yes, the big dog is running"). These indirect strategies provide positive models of target forms while maintaining conversational flow, contrasting with the rarity of explicit negative evidence, such as direct corrections of grammatical errors, which analyses of parent- interactions show occur in fewer than 1% of utterances. Chouinard and Clark (2003) demonstrated that while direct rejections are uncommon, recasts and expansions disproportionately target ill-formed speech, offering subtle negative evidence that guides refinement of linguistic rules. Environmental factors, including SES and household linguistic diversity, amplify these input effects on growth. Low-SES environments often feature reduced child-directed speech and fewer conversational turns, leading to vocabulary deficits of 4–6 million words by school entry, as evidenced by extensions of Hart and Risley's findings in diverse cohorts. In multilingual homes, children receive divided input across languages, typically about 50% less exposure per language than monolingual peers in balanced contexts (with variability based on language dominance and total input), yet this can foster balanced bilingualism if both languages are consistently modeled, though cumulative may lag without enriched interactions. Experimental evidence confirms that targeted input manipulations accelerate acquisition, particularly through recasts. Meta-analyses of intervention studies from the 1990s onward, including trials with typically developing and language-impaired children, report moderate to large sizes (d = 0.75–1.2) for recast frequency on grammatical accuracy and syntactic complexity, with gains evident after 20–40 sessions of enhanced feedback. For instance, Camarata and Leonard (1994) showed that recast procedures doubled the production rate of tense markers in preschoolers with compared to imitation-based methods, highlighting how quality input can bridge developmental gaps. Such effects are most pronounced when input aligns temporally with sensitive periods, ensuring optimal neural plasticity for integration.

Cross-Linguistic Diversity

Cross-linguistic in language acquisition reveals a balance between universal developmental patterns and influences shaped by the target language's structure. Children worldwide progress through comparable stages, beginning with pre-linguistic around 6-10 months, followed by one-word holophrases by 12 months, two-word combinations by 18-24 months, and increasingly complex multi-word utterances thereafter, regardless of whether the language is analytic like English or more inflected like Turkish or . This consistent stage order underscores shared cognitive mechanisms that facilitate language learning across typologies. Slobin's seminal work on operating principles posits that children employ innate strategies, such as "pay attention to the ends of words for grammatical information" or "underlying forms are simple," to segment and interpret input universally. These principles, derived from inductive analysis of early data, explain why children prioritize perceptual salience and simplicity in initial grammars, leading to parallel milestones despite surface differences in or . Language-specific features, however, modulate the timing, order, and realization of these stages, demonstrating how input tunes universal capacities to particular grammars. For instance, in German, where articles are highly frequent and morphologically marked for , case, and number, children produce them reliably by age 2;0, often earlier and more accurately than English-speaking children, who master articles around 2;6-3;0 due to their lower functional load in an analytic system. Similarly, in verb-subject-object (VSO) languages like Irish, young children initially favor subject-verb-object (SVO) orders in early multi-word speech, reflecting a possible universal preference for subject-initial structures, but shift to canonical VSO by age 3;0 as exposure reinforces the target parameter. Such variations arise from parametric differences in the grammar—such as head-directionality or morphological richness—that children set based on distributional cues in the input, rather than fixed innate templates. Slobin's crosslinguistic studies across over a dozen languages illustrate how these influences lead to divergent paths, like earlier verb morphology in agglutinative Turkish compared to isolating Mandarin. Methodologies for investigating this diversity have advanced through standardized tools that enable rigorous comparisons. The CHILDES (Child Language Data Exchange System) database, initiated by MacWhinney in the mid-1980s, compiles transcribed audio and video corpora from child-caregiver interactions in more than 30 languages, allowing researchers to analyze patterns in , , and via computational tools like . This resource has supported longitudinal and cross-sectional studies, revealing how input frequency and typology interact; for example, analyses of CHILDES data show that children in pro-drop languages like Spanish omit subjects earlier and more frequently than in non-pro-drop English. Recent findings (as of 2025) using CHILDES emphasize resilience in acquisition even with variable input, such as temporary suspensions, and cross-linguistic effects in bilingual contexts. By facilitating meta-analyses and replicable queries, CHILDES has shifted the field from anecdotal reports to empirical, data-driven insights into acquisition universals and variations. The implications of cross-linguistic diversity challenge notions of a uniform acquisition trajectory, emphasizing that input quality and quantity drive adaptations to language-specific parameters. While genetic universals may provide a biological foundation for learning, from diverse typologies suggests—according to usage-based models—that environmental exposure plays a primary role in outcomes, with ongoing debate over the extent to which a rigid "" influences input effects. This perspective informs theories like usage-based models, where children's grammars emerge incrementally from statistical patterns in the ambient language, and underscores the adaptability of human language capacity.

Special Cases and Challenges

Signed Language Acquisition

Signed language acquisition in deaf children follows a developmental trajectory parallel to that of in hearing children, but through visual-manual modalities rather than auditory-vocal ones. Deaf infants exposed to fluent signers from birth produce manual babbling—rhythmic, repetitive hand movements analogous to vocal babbling—beginning around 6 to 12 months of age, which serves as a precursor to meaningful signing. By approximately 12 months, they typically produce their first recognizable signs, marking the onset of lexical development, much like first words in learners. Vocabulary expands rapidly thereafter, with children combining signs into two-sign utterances by 18-24 months and achieving basic , such as subject-verb-object ordering, by 3-4 years. A striking example of signed language emergence and acquisition is Nicaraguan Sign Language (NSL), which developed in the late among deaf children in Nicaraguan schools for the deaf, where no prior standardized existed. The first cohort of children created a rudimentary pidgin-like system from homesign and gestures, but their younger peers, acquiring it as a primary language, regularized and expanded it into a full-fledged sign language through processes within one generation, demonstrating innate language creation abilities. This rapid evolution highlights how deaf children can bootstrap complex linguistic structures from limited input, paralleling creole formation in spoken languages. Unlike spoken languages, signed languages rely heavily on spatial grammar, where signers use the signing space to depict relationships, motion, and locations. Children acquiring signs master classifier handshapes—predicates that represent object classes and their movements, such as a two-fingered handshape for vehicles rolling along a path—typically between 3 and 5 years, integrating them into narratives to convey earlier and more explicitly than hearing peers using spoken descriptions. This modality-specific feature links signed language development closely to visuospatial processing, with evidence of enhanced spatial reasoning in early signers. A major challenge in signed language acquisition arises from delayed exposure, particularly in non-signing homes, where about 90-95% of deaf children are born to hearing parents who may not provide consistent input. Such delays can lead to significant lags in expressive and receptive skills, increasing risks of language deprivation syndrome, which impairs cognitive and social development if accessible signing is not introduced early. Early intervention with fluent signers mitigates these issues, underscoring the critical role of rich, multimodal input. Neurological adaptations support this visual processing, with brain regions like the showing heightened activation for signed input in proficient acquirers.

Bilingual and Multilingual Contexts

Bilingual language acquisition can occur simultaneously, when children are exposed to two or more languages from birth or early infancy (typically before age 3), leading to more balanced proficiency across languages, or sequentially, when a is introduced after the first has been established, often resulting in dominance in the initial language. Simultaneous bilinguals often develop separate lexicons for each language while initially applying shared syntactic rules, allowing for gradual differentiation of grammatical structures over time. A common strategy in early bilingual development is , where children blend elements from multiple languages within utterances, which serves as a normal and rule-governed rather than a sign of linguistic confusion. Studies from the 1980s on French-English bilingual children in demonstrated that young bilinguals maintain distinct representations of their languages, with no evidence of conceptual or grammatical confusion between them, as they differentiate lexical items and pragmatic functions appropriately. This separation of lexicons, combined with initially shared , enables bilingual children to reach similar overall milestones as monolinguals, though with some delays in specific areas. Bilingualism confers cognitive benefits, including enhanced executive function, such as improved and task-switching, as evidenced by research in the 2000s showing bilingual children outperforming monolinguals on non-verbal tasks due to constant of dual systems. Additionally, bilingual children exhibit greater metalinguistic awareness, enabling them to reflect on structures and forms more effectively than monolinguals, which supports advanced and problem-solving skills. Despite these advantages, bilingual acquisition presents challenges, including slower initial growth in each individual compared to monolinguals, though the total conceptual across languages is often comparable or larger due to non-overlapping terms. Sequential bilinguals may face heightened risks of attrition in the if input decreases, potentially leading to reduced proficiency over time without sustained exposure. These patterns underscore the importance of balanced input to mitigate delays and preserve multilingual competence, with sensitive periods potentially extending to accommodate multiple languages under optimal conditions.

Language Disorders and Impairments

Developmental language disorders (DLDs) encompass a range of neurodevelopmental conditions that persistently impair language acquisition and use, affecting comprehension, production, and social communication without clear causes such as or . These disorders manifest early in childhood and can lead to challenges in academic, social, and vocational outcomes if unaddressed. Specific Language Impairment (SLI), now more commonly termed (DLD), represents one of the most prevalent forms, characterized by deficits in , , and that deviate from age expectations. DLD affects approximately 7% of children, making it a significant concern in pediatric populations. A hallmark feature is prolonged difficulty with grammatical , such as omitting third-person singular -s (e.g., "he walk" instead of "he walks") or -ed, which persists beyond the typical developmental timeline. The Rice-Wexler model posits that these deficits arise from an extended period of optional use in English, where children with DLD treat forms as non-obligatory far longer than typically developing peers, leading to inaccurate tense production even into age. This model highlights tense morphemes like -s, -ed, and forms of BE and DO as reliable clinical markers for identifying DLD, with affected children showing lower accuracy rates across production tasks. Dyslexia, another key language impairment, primarily disrupts reading acquisition through phonological processing deficits, where individuals struggle to segment and manipulate speech sounds (phonemes) despite intact intelligence and exposure to instruction. These phonological awareness issues impair the mapping of sounds to letters, resulting in difficulties with decoding words and spelling that emerge in early literacy stages. Genetic factors contribute substantially, with genome-wide association studies (GWAS) since the early 2000s identifying multiple risk loci associated with dyslexia susceptibility, including variants influencing neuronal migration and synaptic function in language-related brain regions. For instance, a 2022 GWAS meta-analysis pinpointed 42 genome-wide significant loci, and a 2025 multivariate GWAS identified 80 independent loci, underscoring the polygenic nature of dyslexia and its overlap with other neurodevelopmental traits. In autism spectrum disorder (ASD), language impairments often center on pragmatic deficits, such as challenges in using language for social purposes, interpreting nonverbal cues, or maintaining conversational turn-taking. , the immediate or delayed repetition of others' words or phrases, is a common early feature, serving functions like self-regulation but hindering flexible communication. In contrast, individuals with exhibit relatively fluent language development despite cognitive delays, producing verbose but semantically anomalous speech with unusual concreteness or overgeneralization (e.g., atypical word associations). This dissociation highlights how genetic anomalies can yield preserved syntactic fluency alongside pragmatic and semantic irregularities. Etiological factors in DLD include subcortical brain structures, such as the and , which show atypical development and connectivity, potentially disrupting for grammatical rules as proposed in Leonard's 1998 framework. Genetic risks predispose some children to DLD through variants affecting neural migration and , though environmental interactions modulate expression. Early interventions, such as focused phonological and grammatical , yield positive outcomes, with studies showing gains in expressive skills and reduced symptom severity when initiated before age 5. For example, explicit interventions targeting tense-marking have demonstrated significant improvements in accuracy, with large effect sizes observed in short-term assessments.

Modern Applications and Research Directions

Artificial Intelligence Parallels

Artificial intelligence models, particularly transformer-based architectures, exhibit parallels to human language acquisition through mechanisms that emulate statistical learning from input data. The model, introduced by Vaswani et al. in , relies on self-attention mechanisms to weigh relationships between elements in a sequence, allowing the network to capture contextual dependencies in a manner reminiscent of how children infer grammatical structures and word meanings from statistical regularities in speech input. Similarly, large language models like the GPT series demonstrate emergent abilities—such as few-shot learning and compositional generalization—that arise from training on vast corpora, mirroring the gradual emergence of complex linguistic competencies in children exposed to rich environmental language data. These models draw inspiration from usage-based theories, where language knowledge is constructed incrementally from patterns in usage rather than innate rules. Despite these similarities, significant differences highlight the limitations of AI in replicating human acquisition processes. AI language models lack embodiment, operating without physical interaction with the world, which deprives them of the grounded experiences that anchor human language learning in sensory and social contexts. They also do not engage in real-time social interaction, such as turn-taking or joint referencing, which are crucial for pragmatic development in infants; instead, their "understanding" is purely statistical pattern matching without genuine comprehension or intentionality. Critiques emphasize that this results in superficial fluency, prone to hallucinations and biases, unlike the robust, adaptive acquisition seen in humans. AI simulations provide valuable insights into human mechanisms, such as sensitive periods, by imposing training cutoffs that mimic reduced plasticity after early exposure, revealing how initial shapes long-term linguistic representations in transformers. In recurrent neural networks, chunking—grouping sequential elements into higher-level units—emerges during training on linguistic tasks, paralleling how children organize speech into phrases and morphemes to manage and facilitate learning. Recent advances in multimodal models further bridge gaps, with architectures like CLIP (Contrastive Language-Image Pretraining) learning aligned representations of text and visuals through contrastive objectives, akin to the episodes in infant-caregiver interactions that link words to referents and support vocabulary growth. As of 2025, further developments in vision-language models continue to explore simulations of mechanisms.

Educational and Therapeutic Implications

Research in language acquisition has informed educational practices by highlighting the comparative effectiveness of immersion and explicit instruction. Immersion approaches, which emphasize naturalistic exposure to the target language, promote implicit learning and , particularly in early stages, as they mimic first-language acquisition environments. In contrast, explicit teaching provides structured rules and metalinguistic knowledge, benefiting accuracy in complex structures but potentially hindering spontaneous use if overemphasized. A balanced integration of both methods optimizes outcomes, with studies showing that combining immersion with targeted explicit elements enhances overall proficiency without overwhelming learners. In ESL contexts, recast techniques—where teachers reformulate a learner's erroneous utterance into a correct form—serve as a key method. Seminal work by Lyster and Ranta (1997) analyzed classroom interactions and found recasts to be the most frequent feedback type (approximately 62% of instances) but the least effective for immediate learner uptake (only 27% uptake rate), as they often go unnoticed amid fluent . Subsequent confirms that recasts support long-term acquisition when paired with prompts or elicitation, improving accuracy in form-focused instruction in targeted structures like question formation. These findings underscore the value of input optimization in teaching, where recasts enhance comprehensible input to foster incidental learning. Therapeutic interventions for language disorders draw on acquisition principles to target specific deficits. For dyslexia, phonological awareness training—exercises in segmenting, blending, and manipulating sounds—has proven effective in remediating reading difficulties by strengthening the phonological loop central to language processing. For example, an 8-week program for 7-8-year-old dyslexic children improved reading levels from frustration to instructional in most participants. In autism spectrum disorders, augmentative and alternative communication (AAC) systems, including picture exchange and speech-generating devices, facilitate language acquisition for minimally verbal individuals (about 30% of cases) by building functional communication skills. Systematic reviews indicate AAC yields high effect sizes for expressive requests and reduces maladaptive behaviors, though it primarily supports nonverbal modalities rather than speech emergence. Policy initiatives informed by acquisition research emphasize early intervention to capitalize on sensitive periods. The Head Start program, targeting low-income preschoolers, boosts vocabulary and communication skills through enriched language environments, with participants showing improved outcomes in expressive vocabulary compared to non-participants. Bilingual education policies similarly leverage dual-language exposure, yielding cognitive advantages like enhanced executive control—evidenced by bilingual children showing faster reaction times and smaller switch costs in task-switching paradigms compared to monolinguals—and comparable linguistic proficiency when instruction aligns with home languages. These approaches promote equitable outcomes by fostering metalinguistic awareness and long-term academic success. Future directions in include personalized AI tutors that adapt to individual acquisition trajectories, informed by sensitive period research to intensify input during optimal windows. Preliminary studies show such tutors improve engagement and aspects of language performance through tailored feedback, potentially scaling interventions for diverse learners while respecting developmental timelines.

References

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