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 language | English |
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Title of host publication | Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics |
Subtitle of host publication | Volume 1, Long Papers |
Editors | Mirella Lapata, Phil Blunsom, Alexander Koller |
Place of Publication | Pennsylvania |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 894-904 |
Number of pages | 11 |
Volume | 1 |
ISBN (Electronic) | 9781510838604 |
DOIs | |
Publication status | Published - 1 Jul 2017 |
Externally published | Yes |
Event | 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain Duration: 3 Apr 2017 → 7 Apr 2017 |
Conference
Conference | 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 |
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Country/Territory | Spain |
City | Valencia |
Period | 3/04/17 → 7/04/17 |