Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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 languageEnglish
Title of host publicationProceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018)
PublisherAssociation for Computational Linguistics
Publication date2018
Pages211–220
Publication statusPublished - 2018
Event22nd Conference on Computational Natural Language Learning (CoNLL 2018) - Brussels, Belgium
Duration: 31 Oct 20181 Nov 2018

Conference

Conference22nd Conference on Computational Natural Language Learning (CoNLL 2018)
LandBelgium
ByBrussels
Periode31/10/201801/11/2018

ID: 214760150