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        <title>word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs</title>
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        <namePart type="given">Joong</namePart>
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        <namePart type="given">Kyubyong</namePart>
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            <title>Proceedings of the Twelfth Language Resources and Evaluation Conference</title>
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    <abstract>We present word2word, a publicly available dataset and an open-source Python package for cross-lingual word translations extracted from sentence-level parallel corpora. Our dataset provides top-k word translations in 3,564 (directed) language pairs across 62 languages in OpenSubtitles2018 (Lison et al., 2018). To obtain this dataset, we use a count-based bilingual lexicon extraction model based on the observation that not only source and target words but also source words themselves can be highly correlated. We illustrate that the resulting bilingual lexicons have high coverage and attain competitive translation quality for several language pairs. We wrap our dataset and model in an easy-to-use Python library, which supports downloading and retrieving top-k word translations in any of the supported language pairs as well as computing top-k word translations for custom parallel corpora.</abstract>
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%0 Conference Proceedings
%T word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs
%A Choe, Yo Joong
%A Park, Kyubyong
%A Kim, Dongwoo
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F choe-etal-2020-word2word
%X We present word2word, a publicly available dataset and an open-source Python package for cross-lingual word translations extracted from sentence-level parallel corpora. Our dataset provides top-k word translations in 3,564 (directed) language pairs across 62 languages in OpenSubtitles2018 (Lison et al., 2018). To obtain this dataset, we use a count-based bilingual lexicon extraction model based on the observation that not only source and target words but also source words themselves can be highly correlated. We illustrate that the resulting bilingual lexicons have high coverage and attain competitive translation quality for several language pairs. We wrap our dataset and model in an easy-to-use Python library, which supports downloading and retrieving top-k word translations in any of the supported language pairs as well as computing top-k word translations for custom parallel corpora.
%U https://aclanthology.org/2020.lrec-1.371
%P 3036-3045

Markdown (Informal)

[word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs](https://aclanthology.org/2020.lrec-1.371) (Choe et al., LREC 2020)

• word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs (Choe et al., LREC 2020)

ACL

• Yo Joong Choe, Kyubyong Park, and Dongwoo Kim. 2020. word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3036–3045, Marseille, France. European Language Resources Association.