Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction

Yova Radoslavova Kementchedjhieva; Sebastian  Ruder; Ryan  Cotterell; Anders Søgaard

Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction

Yova Radoslavova Kementchedjhieva, Sebastian Ruder, Ryan Cotterell, Anders Søgaard

15 Citations (Scopus)

Abstract

Most recent approaches to bilingual dictionaryinduction find a linear alignment between theword vector spaces of two languages. Weshow that projecting the two languages ontoa third, latent space, rather than directly ontoeach other, while equivalent in terms of expressivity,makes it easier to learn approximatealignments. Our modified approach also allowsfor supporting languages to be includedin the alignment process, to obtain an even betterperformance in low resource settings.

Original language	English
Title of host publication	Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018)
Publisher	Association for Computational Linguistics
Publication date	2018
Pages	211–220
Publication status	Published - 2018
Event	22nd Conference on Computational Natural Language Learning (CoNLL 2018) - Brussels, Belgium Duration: 31 Oct 2018 → 1 Nov 2018

Conference

Conference	22nd Conference on Computational Natural Language Learning (CoNLL 2018)
Country/Territory	Belgium
City	Brussels
Period	31/10/2018 → 01/11/2018

Cite this

Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. / Kementchedjhieva, Yova Radoslavova; Ruder, Sebastian ; Cotterell, Ryan et al.

Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics, 2018. p. 211–220.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Kementchedjhieva, YR, Ruder, S, Cotterell, R & Søgaard, A 2018, Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. in Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics, pp. 211–220, 22nd Conference on Computational Natural Language Learning (CoNLL 2018), Brussels, Belgium, 31/10/2018.

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