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        <title>Unsupervised Compositional Translation of Multiword Expressions</title>
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            <title>Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019)</title>
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            <namePart type="given">Agata</namePart>
            <namePart type="family">Savary</namePart>
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        <name type="personal">
            <namePart type="given">Carla</namePart>
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        <name type="personal">
            <namePart type="given">Jelena</namePart>
            <namePart type="family">Mitrović</namePart>
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            <namePart type="given">Verginica</namePart>
            <namePart type="given">Barbu</namePart>
            <namePart type="family">Mititelu</namePart>
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    <abstract>This article describes a dependency-based strategy that uses compositional distributional semantics and cross-lingual word embeddings to translate multiword expressions (MWEs). Our unsupervised approach performs translation as a process of word contextualization by taking into account lexico-syntactic contexts and selectional preferences. This strategy is suited to translate phraseological combinations and phrases whose constituent words are lexically restricted by each other. Several experiments in adjective-noun and verb-object compounds show that mutual contextualization (co-compositionality) clearly outperforms other compositional methods. The paper also contributes with a new freely available dataset of English-Spanish MWEs used to validate the proposed compositional strategy.</abstract>
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    <identifier type="doi">10.18653/v1/W19-5106</identifier>
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%0 Conference Proceedings
%T Unsupervised Compositional Translation of Multiword Expressions
%A Gamallo, Pablo
%A Garcia, Marcos
%Y Savary, Agata
%Y Escartín, Carla Parra
%Y Bond, Francis
%Y Mitrović, Jelena
%Y Mititelu, Verginica Barbu
%S Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019)
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F gamallo-garcia-2019-unsupervised
%X This article describes a dependency-based strategy that uses compositional distributional semantics and cross-lingual word embeddings to translate multiword expressions (MWEs). Our unsupervised approach performs translation as a process of word contextualization by taking into account lexico-syntactic contexts and selectional preferences. This strategy is suited to translate phraseological combinations and phrases whose constituent words are lexically restricted by each other. Several experiments in adjective-noun and verb-object compounds show that mutual contextualization (co-compositionality) clearly outperforms other compositional methods. The paper also contributes with a new freely available dataset of English-Spanish MWEs used to validate the proposed compositional strategy.
%R 10.18653/v1/W19-5106
%U https://aclanthology.org/W19-5106
%U https://doi.org/10.18653/v1/W19-5106
%P 40-48

Markdown (Informal)

[Unsupervised Compositional Translation of Multiword Expressions](https://aclanthology.org/W19-5106) (Gamallo & Garcia, MWE 2019)

• Unsupervised Compositional Translation of Multiword Expressions (Gamallo & Garcia, MWE 2019)

ACL

• Pablo Gamallo and Marcos Garcia. 2019. Unsupervised Compositional Translation of Multiword Expressions. In Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019), pages 40–48, Florence, Italy. Association for Computational Linguistics.