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.
Cite
CITATION STYLE
Gamallo, P., & Garcia, M. (2019). Unsupervised compositional translation of multiword expressions. In ACL 2019 - Joint Workshop on Multiword Expressions and WordNet, MWE-WN 2019 - Proceedings of the Workshop (pp. 40–48). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w19-5106
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