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        <title>TALN/LS2N Participation at the BUCC Shared Task: Bilingual Dictionary Induction from Comparable Corpora</title>
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        <namePart type="given">Martin</namePart>
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        <namePart type="given">Amir</namePart>
        <namePart type="family">Hazem</namePart>
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    <name type="personal">
        <namePart type="given">Emmanuel</namePart>
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            <title>Proceedings of the 13th Workshop on Building and Using Comparable Corpora</title>
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            <namePart type="given">Reinhard</namePart>
            <namePart type="family">Rapp</namePart>
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            <namePart type="given">Pierre</namePart>
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            <publisher>European Language Resources Association</publisher>
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    <abstract>This paper describes the TALN/LS2N system participation at the Building and Using Comparable Corpora (BUCC) shared task. We first introduce three strategies: (i) a word embedding approach based on fastText embeddings; (ii) a concatenation approach using both character Skip-Gram and character CBOW models, and finally (iii) a cognates matching approach based on an exact match string similarity. Then, we present the applied strategy for the shared task which consists in the combination of the embeddings concatenation and the cognates matching approaches. The covered languages are French, English, German, Russian and Spanish. Overall, our system mixing embeddings concatenation and perfect cognates matching obtained the best results while compared to individual strategies, except for English-Russian and Russian-English language pairs for which the concatenation approach was preferred.</abstract>
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        <date>2020-05</date>
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            <start>56</start>
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%0 Conference Proceedings
%T TALN/LS2N Participation at the BUCC Shared Task: Bilingual Dictionary Induction from Comparable Corpora
%A Laville, Martin
%A Hazem, Amir
%A Morin, Emmanuel
%Y Rapp, Reinhard
%Y Zweigenbaum, Pierre
%Y Sharoff, Serge
%S Proceedings of the 13th Workshop on Building and Using Comparable Corpora
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-42-9
%G English
%F laville-etal-2020-taln
%X This paper describes the TALN/LS2N system participation at the Building and Using Comparable Corpora (BUCC) shared task. We first introduce three strategies: (i) a word embedding approach based on fastText embeddings; (ii) a concatenation approach using both character Skip-Gram and character CBOW models, and finally (iii) a cognates matching approach based on an exact match string similarity. Then, we present the applied strategy for the shared task which consists in the combination of the embeddings concatenation and the cognates matching approaches. The covered languages are French, English, German, Russian and Spanish. Overall, our system mixing embeddings concatenation and perfect cognates matching obtained the best results while compared to individual strategies, except for English-Russian and Russian-English language pairs for which the concatenation approach was preferred.
%U https://aclanthology.org/2020.bucc-1.9
%P 56-60

Markdown (Informal)

[TALN/LS2N Participation at the BUCC Shared Task: Bilingual Dictionary Induction from Comparable Corpora](https://aclanthology.org/2020.bucc-1.9) (Laville et al., BUCC 2020)

• TALN/LS2N Participation at the BUCC Shared Task: Bilingual Dictionary Induction from Comparable Corpora (Laville et al., BUCC 2020)

ACL

• Martin Laville, Amir Hazem, and Emmanuel Morin. 2020. TALN/LS2N Participation at the BUCC Shared Task: Bilingual Dictionary Induction from Comparable Corpora. In Proceedings of the 13th Workshop on Building and Using Comparable Corpora, pages 56–60, Marseille, France. European Language Resources Association.