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    <abstract>We present the first large-scale corpus of spoken Haitian Creole (Kreyòl), namely Radio Haiti-Inter. The corpus was constructed using automatic speech recognition (ASR) with a state-of-the-art model specifically dedicated to Kreyòl. In addition to transcriptions, we provide part-of-speech (POS) tags, as well as time-aligned transcripts and confidence scores, enabling users to select the most reliable segments for their research. We conduct a manual evaluation of both the transcription quality and POS tagging accuracy to assess the reliability of the resource we present. To enable high-quality research with the resource we introduce, we are releasing 50 hours, comprising both the audios and attached annotations, drawn from the highest-quality segments. This corpus represents an invaluable resource for advancing the study of Kreyòl, with potential applications in phonetics, phonology, morphology, syntax, as well as the study of code-switching and code-mixing. As the recordings cover a large span of years, the corpus we introduce is also suited to micro-diachronic studies of Kreyòl.</abstract>
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%0 Conference Proceedings
%T Radio Haiti-Inter: A Large-Scale Annotated Corpus of Spoken Haitian Creole
%A Havard, William N.
%A Ziane, Rayan
%A Menclé, Mélissa
%A Coavoux, Maximin
%A Lecouteux, Benjamin
%A Schang, Emmanuel
%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 havard-etal-2026-radio
%X We present the first large-scale corpus of spoken Haitian Creole (Kreyòl), namely Radio Haiti-Inter. The corpus was constructed using automatic speech recognition (ASR) with a state-of-the-art model specifically dedicated to Kreyòl. In addition to transcriptions, we provide part-of-speech (POS) tags, as well as time-aligned transcripts and confidence scores, enabling users to select the most reliable segments for their research. We conduct a manual evaluation of both the transcription quality and POS tagging accuracy to assess the reliability of the resource we present. To enable high-quality research with the resource we introduce, we are releasing 50 hours, comprising both the audios and attached annotations, drawn from the highest-quality segments. This corpus represents an invaluable resource for advancing the study of Kreyòl, with potential applications in phonetics, phonology, morphology, syntax, as well as the study of code-switching and code-mixing. As the recordings cover a large span of years, the corpus we introduce is also suited to micro-diachronic studies of Kreyòl.
%R 10.63317/5kk3h4p3mp5d
%U https://aclanthology.org/2026.lrec-1.241/
%U https://doi.org/10.63317/5kk3h4p3mp5d
%P 3083-3093

Markdown (Informal)

[Radio Haiti-Inter: A Large-Scale Annotated Corpus of Spoken Haitian Creole](https://aclanthology.org/2026.lrec-1.241/) (Havard et al., LREC 2026)

• Radio Haiti-Inter: A Large-Scale Annotated Corpus of Spoken Haitian Creole (Havard et al., LREC 2026)

ACL

• William N. Havard, Rayan Ziane, Mélissa Menclé, Maximin Coavoux, Benjamin Lecouteux, and Emmanuel Schang. 2026. Radio Haiti-Inter: A Large-Scale Annotated Corpus of Spoken Haitian Creole. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 3083–3093, Palma de Mallorca, Spain. ELRA Language Resource Association.