Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. / Kementchedjhieva, Yova Radoslavova; Ruder, Sebastian ; Cotterell, Ryan ; Søgaard, Anders.
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
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TY - GEN
T1 - Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction
AU - Kementchedjhieva, Yova Radoslavova
AU - Ruder, Sebastian
AU - Cotterell, Ryan
AU - Søgaard, Anders
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
M3 - Article in proceedings
SP - 211
EP - 220
BT - Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018)
PB - Association for Computational Linguistics
T2 - 22nd Conference on Computational Natural Language Learning (CoNLL 2018)
Y2 - 31 October 2018 through 1 November 2018
ER -
ID: 214760150