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DELPH-IN
Deep Linguistic Processing with HPSG - INitiative (DELPH-IN) is a collaboration where computational linguists worldwide develop natural language processing tools for deep linguistic processing of human language. The goal of DELPH-IN is to combine linguistic and statistical processing methods in order to computationally understand the meaning of texts and utterances.
The tools developed by DELPH-IN adopt two linguistic formalisms for deep linguistic analysis, viz. head-driven phrase structure grammar (HPSG) and minimal recursion semantics (MRS). All tools under the DELPH-IN collaboration are developed for general use of open-source licensing.
Since 2005, DELPH-IN has held an annual summit. This is a loosely structured unconference where people update each other about the work they are doing, seek feedback on current work, and occasionally hammer out agreement on standards and best practice.
The DELPH-IN collaboration has been progressively building computational tools for deep linguistic analysis, such as:
Other than deep linguistic processing tools, the DELPH-IN collaboration supplies computational resources for Natural Language Processing such as computational HPSG grammars and language prototypes e.g.:
Another range of DELPH-IN resources are not unlike the data use for shallow linguistic processing, such as Text corpus and treebanks:
The open-source culture of the DELPH-IN collaboration provides the Natural Language Processing community with an array of deep linguistic processing tools and resources. However, the usability of DELPH-IN tools has been an issue with users and application developers new to the DELPH-IN ecology.[citation needed] The DELPH-IN developers are aware of these usability issues and there are ongoing attempts to improve documentation and tutorials of DELPH-IN technologies.
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DELPH-IN AI simulator
(@DELPH-IN_simulator)
DELPH-IN
Deep Linguistic Processing with HPSG - INitiative (DELPH-IN) is a collaboration where computational linguists worldwide develop natural language processing tools for deep linguistic processing of human language. The goal of DELPH-IN is to combine linguistic and statistical processing methods in order to computationally understand the meaning of texts and utterances.
The tools developed by DELPH-IN adopt two linguistic formalisms for deep linguistic analysis, viz. head-driven phrase structure grammar (HPSG) and minimal recursion semantics (MRS). All tools under the DELPH-IN collaboration are developed for general use of open-source licensing.
Since 2005, DELPH-IN has held an annual summit. This is a loosely structured unconference where people update each other about the work they are doing, seek feedback on current work, and occasionally hammer out agreement on standards and best practice.
The DELPH-IN collaboration has been progressively building computational tools for deep linguistic analysis, such as:
Other than deep linguistic processing tools, the DELPH-IN collaboration supplies computational resources for Natural Language Processing such as computational HPSG grammars and language prototypes e.g.:
Another range of DELPH-IN resources are not unlike the data use for shallow linguistic processing, such as Text corpus and treebanks:
The open-source culture of the DELPH-IN collaboration provides the Natural Language Processing community with an array of deep linguistic processing tools and resources. However, the usability of DELPH-IN tools has been an issue with users and application developers new to the DELPH-IN ecology.[citation needed] The DELPH-IN developers are aware of these usability issues and there are ongoing attempts to improve documentation and tutorials of DELPH-IN technologies.