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            <namePart type="given">Serge</namePart>
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            <namePart type="family">Terryn</namePart>
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        <name type="personal">
            <namePart type="given">Pierre</namePart>
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    <abstract>The annotation of large text corpora is essential for many tasks. We present here a large automatically annotated corpus for French. This corpus is separated into two parts: the first from BigScience, and the second from HPLT. The annotated documents from HPLT were selected in order to optimise the lexical diversity of the final corpus SELEXINI. An analysis of the impact of this selection was carried out on syntactic diversity, as well as on the quality of the new words resulting from the HPLT part of SELEXINI. We have shown that despite the introduction of interesting new words, the texts extracted from HPLT are very noisy. Furthermore, increasing lexical diversity did not increase syntactic diversity.</abstract>
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%0 Conference Proceedings
%T SELEXINI – a large and diverse automatically parsed corpus of French
%A Scholivet, Manon
%A Savary, Agata
%A Estève, Louis
%A Candito, Marie
%A Ramisch, Carlos
%Y Sharoff, Serge
%Y Terryn, Ayla Rigouts
%Y Zweigenbaum, Pierre
%Y Rapp, Reinhard
%S Proceedings of the 18th Workshop on Building and Using Comparable Corpora (BUCC)
%D 2025
%8 January
%I Association for Computational Linguistics
%C Abu Dhabi, UAE
%F scholivet-etal-2025-selexini
%X The annotation of large text corpora is essential for many tasks. We present here a large automatically annotated corpus for French. This corpus is separated into two parts: the first from BigScience, and the second from HPLT. The annotated documents from HPLT were selected in order to optimise the lexical diversity of the final corpus SELEXINI. An analysis of the impact of this selection was carried out on syntactic diversity, as well as on the quality of the new words resulting from the HPLT part of SELEXINI. We have shown that despite the introduction of interesting new words, the texts extracted from HPLT are very noisy. Furthermore, increasing lexical diversity did not increase syntactic diversity.
%U https://aclanthology.org/2025.bucc-1.10/
%P 83-98

Markdown (Informal)

[SELEXINI – a large and diverse automatically parsed corpus of French](https://aclanthology.org/2025.bucc-1.10/) (Scholivet et al., BUCC 2025)

• SELEXINI – a large and diverse automatically parsed corpus of French (Scholivet et al., BUCC 2025)

ACL

• Manon Scholivet, Agata Savary, Louis Estève, Marie Candito, and Carlos Ramisch. 2025. SELEXINI – a large and diverse automatically parsed corpus of French. In Proceedings of the 18th Workshop on Building and Using Comparable Corpora (BUCC), pages 83–98, Abu Dhabi, UAE. Association for Computational Linguistics.