@inproceedings{laskina-etal-2024-closer-look,
title = "A Closer Look at Clustering Bilingual Comparable Corpora",
author = "Laskina, Anna and
Gaussier, Eric and
Calvary, Gaelle",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.12",
pages = "133--142",
abstract = "We study in this paper the problem of clustering comparable corpora, building upon the observation that different types of clusters can be present in such corpora: monolingual clusters comprising documents in a single language, and bilingual or multilingual clusters comprising documents written in different languages. Based on a state-of-the-art deep variant of Kmeans, we propose new clustering models fully adapted to comparable corpora and illustrate their behavior on several bilingual collections (in English, French, German and Russian) created from Wikipedia.",
}
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%0 Conference Proceedings
%T A Closer Look at Clustering Bilingual Comparable Corpora
%A Laskina, Anna
%A Gaussier, Eric
%A Calvary, Gaelle
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F laskina-etal-2024-closer-look
%X We study in this paper the problem of clustering comparable corpora, building upon the observation that different types of clusters can be present in such corpora: monolingual clusters comprising documents in a single language, and bilingual or multilingual clusters comprising documents written in different languages. Based on a state-of-the-art deep variant of Kmeans, we propose new clustering models fully adapted to comparable corpora and illustrate their behavior on several bilingual collections (in English, French, German and Russian) created from Wikipedia.
%U https://aclanthology.org/2024.lrec-main.12
%P 133-142
Markdown (Informal)
[A Closer Look at Clustering Bilingual Comparable Corpora](https://aclanthology.org/2024.lrec-main.12) (Laskina et al., LREC-COLING 2024)
ACL
- Anna Laskina, Eric Gaussier, and Gaelle Calvary. 2024. A Closer Look at Clustering Bilingual Comparable Corpora. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 133–142, Torino, Italia. ELRA and ICCL.