Abstract
We present an interactive web-based writing assistance system that is based on recent advances in crosslingual compositional distributed semantics. Given queries in Japanese or English, our system can retrieve semantically related sentences from high quality English corpora. By employing crosslingually constrained vector space models to represent phrases, our system naturally sidesteps several difficulties that would arise from direct word-to-text matching, and is able to provide novel functionality like the visualization of semantic relationships between phrases interlingually and intralingually.
Cite
CITATION STYLE
Soyer, H., Topić, G., Stenetorp, P., & Aizawa, A. (2015). CroVeWA: Crosslingual vector-based writing assistance. In NAACL-HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Demonstrations, Proceedings (pp. 91–95). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/n15-3019
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