Learning Bilingual Word Representations by Marginalizing Alignments

Karl Moritz Hermann; Phil Blunsom; Tom\'a\v{s} Ko\v{c}isk\'y

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Learning Bilingual Word Representations by Marginalizing Alignments

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arxiv 1405.0947 v1 pith:LRRVUV3Z submitted 2014-05-05 cs.CL

Learning Bilingual Word Representations by Marginalizing Alignments

Tom\'a\v{s} Ko\v{c}isk\'y , Karl Moritz Hermann , Phil Blunsom This is my paper

classification cs.CL

keywords alignmentsbilingualmarginalizingmodelpriorrepresentationswordadvantage

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We present a probabilistic model that simultaneously learns alignments and distributed representations for bilingual data. By marginalizing over word alignments the model captures a larger semantic context than prior work relying on hard alignments. The advantage of this approach is demonstrated in a cross-lingual classification task, where we outperform the prior published state of the art.

Learning Bilingual Word Representations by Marginalizing Alignments

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