ENGLAWI: From Human- to Machine-Readable Wiktionary

Franck Sajous, Basilio Calderone and Nabil Hathout 2020 Proceedings of the 12th International Language Resources and Evaluation Conference Marseille, France 3016-3026 [ PDF article ] F. Sajous, B. Calderone and N. Hathout (2022). ENGLAWI: From Human- to Machine-Readable Wiktionary. Proceedings of the 12th International Language Resources and Evaluation Conference (LREC 2020), pp. 3016-3026, , Marseille, France. [ .bib ] Wiktionary, Machine-Readable Dictionary of Contemporary English, Definitions-based Embeddings This paper introduces ENGLAWI, a large, versatile, XML-encoded machine-readable dictionary extracted from Wiktionary. ENGLAWI contains 752,769 articles encoding the full body of information included in Wiktionary: simple words, compounds and multiword expressions, lemmas and inflectional paradigms, etymologies, phonemic transcriptions in IPA, definition glosses and usage examples, translations, semantic and morphological relations, spelling variants, etc. It is fully documented, released under a free license and supplied with G-PeTo, a series of scripts allowing easy information extraction from ENGLAWI. Additional resources extracted from ENGLAWI, such as an inflectional lexicon, a lexicon of diatopic variants and the inclusion dates of headwords in Wiktionary's nomenclature are also provided. The paper describes the content of the resource and illustrates how it can be – and has been – used in previous studies. We finally introduce an ongoing work that computes lexicographic word embeddings from ENGLAWI's definitions.