@inproceedings{doucette-etal-2026-lexiphon,
title = "{L}exi{P}hon: A Collection of Phonetically Transcribed Lexicons from {W}ikipedia",
author = "Doucette, Amanda and
O{'}Donnell, Timothy J. and
Sonderegger, Morgan",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.448/",
doi = "10.63317/2ju5wvz6x3mw",
pages = "5689--5700",
abstract = "We introduce LexiPhon, an open-source dataset of phonetically transcribed lexicons for 87 languages derived from Wikipedia data with automated grapheme-to-phoneme (G2P) transcription, along with the open-source software used to create it. Each lexicon provides transcriptions generated by up to three G2P methods, crowdsourced transcriptions from WikiPron (Lee et al., 2020) where available, word frequencies calculated from Wikipedia, along with word lengths and phonological neighborhood densities. We introduce an internal validation metric based on phonological feature edit distance to ensure transcriptions are consistent within languages, as manual validation is not possible. This dataset fills a gap in the existing space of phonetic lexicons, with a much larger set of words per language than existing multilingual word lists, and more languages than existing lexicon datasets. The dataset, along with the software used to create it, are freely available on OSF at \url{https://osf.io/rd9ma/overview?view_only=398802df19ad488ab7da7e7798cd7aca}."
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<abstract>We introduce LexiPhon, an open-source dataset of phonetically transcribed lexicons for 87 languages derived from Wikipedia data with automated grapheme-to-phoneme (G2P) transcription, along with the open-source software used to create it. Each lexicon provides transcriptions generated by up to three G2P methods, crowdsourced transcriptions from WikiPron (Lee et al., 2020) where available, word frequencies calculated from Wikipedia, along with word lengths and phonological neighborhood densities. We introduce an internal validation metric based on phonological feature edit distance to ensure transcriptions are consistent within languages, as manual validation is not possible. This dataset fills a gap in the existing space of phonetic lexicons, with a much larger set of words per language than existing multilingual word lists, and more languages than existing lexicon datasets. The dataset, along with the software used to create it, are freely available on OSF at https://osf.io/rd9ma/overview?view_only=398802df19ad488ab7da7e7798cd7aca.</abstract>
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%0 Conference Proceedings
%T LexiPhon: A Collection of Phonetically Transcribed Lexicons from Wikipedia
%A Doucette, Amanda
%A O’Donnell, Timothy J.
%A Sonderegger, Morgan
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F doucette-etal-2026-lexiphon
%X We introduce LexiPhon, an open-source dataset of phonetically transcribed lexicons for 87 languages derived from Wikipedia data with automated grapheme-to-phoneme (G2P) transcription, along with the open-source software used to create it. Each lexicon provides transcriptions generated by up to three G2P methods, crowdsourced transcriptions from WikiPron (Lee et al., 2020) where available, word frequencies calculated from Wikipedia, along with word lengths and phonological neighborhood densities. We introduce an internal validation metric based on phonological feature edit distance to ensure transcriptions are consistent within languages, as manual validation is not possible. This dataset fills a gap in the existing space of phonetic lexicons, with a much larger set of words per language than existing multilingual word lists, and more languages than existing lexicon datasets. The dataset, along with the software used to create it, are freely available on OSF at https://osf.io/rd9ma/overview?view_only=398802df19ad488ab7da7e7798cd7aca.
%R 10.63317/2ju5wvz6x3mw
%U https://aclanthology.org/2026.lrec-1.448/
%U https://doi.org/10.63317/2ju5wvz6x3mw
%P 5689-5700
Markdown (Informal)
[LexiPhon: A Collection of Phonetically Transcribed Lexicons from Wikipedia](https://aclanthology.org/2026.lrec-1.448/) (Doucette et al., LREC 2026)
ACL