Vocabulary of natural language processing (POC)

The vocabulary of natural language processing (NLP) is a bilingual (French-English) terminological resource. It is the result of transforming a hierarchical list of terms into SKOS. It includes more than 1,600 concepts, some of which have one or more definitions.

This vocabulary is based on:
- reusing, merging, unifying and appending classes and properties from existing ontologies, i.e. the Vocabulary of Linguistics, the Thesaurus of Text Mining, the Vocabulary of Signal Theory and Processing, the Artes (Aide à la rédaction de textes scientifiques) dictionary created by the joined research team of UFR EILA and CLILLAC-ARP departments of Université Paris Cité and based on Bénard (2019);
- extracting terms from subject-based corpora (Istex, ACL Anthology Reference Corpus);
- manual identification of problematic terms during an experimental post-editing session (Bawden et al., 2024).

This vocabulary can be downloaded in the following formats: CSV, SKOS-XML and JSON-LD.

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Institute for scientific and technical information (Inist) - CNRS/UAR76

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NLP vocabulary

https://dx.doi.org/10.13143/lotr.5325

http://www.w3.org/2004/02/skos/core#ConceptScheme

This resource contains 1620 terminological entries.

NLP Vocabulary

http://data.loterre.fr/ark:/67375/8LP