Ten pairs to tag - Multilingual POS tagging via coarse mapping between embeddings

Ten pairs to tag - Multilingual POS tagging via coarse mapping between embeddings

In the absence of annotations in the target language, multilingual models typically draw on extensive parallel resources. In this paper, we demonstrate that accurate multilingual partof-speech (POS) tagging can be done with just a few (e.g., ten) word translation pairs. We use the translation pairs...

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Bibliographic Details
Main Authors: Gaddy, David M. (Contributor), Zhang, Yuan (Contributor), Barzilay, Regina (Contributor), Jaakkola, Tommi S. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computational Linguistics, 2017-07-17T18:13:57Z.
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