Multilingual training of crosslingual word embeddings

Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

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Abstract

Crosslingual word embeddings represent lexical items from different languages using the same vector space, enabling crosslingual transfer. Most prior work constructs embeddings for a pair of languages, with English on one side. We investigate methods for building high quality crosslingual word embeddings for many languages in a unified vector space. In this way, we can exploit and combine information from many languages. We report competitive performance on bilingual lexicon induction, monolingual similarity and crosslingual document classification tasks.

Original languageEnglish
Title of host publicationProceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics
Subtitle of host publicationVolume 1, Long Papers
EditorsMirella Lapata, Phil Blunsom, Alexander Koller
Place of PublicationPennsylvania
PublisherAssociation for Computational Linguistics (ACL)
Pages894-904
Number of pages11
Volume1
ISBN (Electronic)9781510838604
DOIs
Publication statusPublished - 1 Jul 2017
Externally publishedYes
Event15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain
Duration: 3 Apr 20177 Apr 2017

Conference

Conference15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017
Country/TerritorySpain
CityValencia
Period3/04/177/04/17

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