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61698 |
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|a dc
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|a Snyder, Benjamin
|e author
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|a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
|e contributor
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Barzilay, Regina
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|a Snyder, Benjamin
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|a Barzilay, Regina
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|a Barzilay, Regina
|e author
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|a Climbing the tower of babel: Unsupervised multilingual learning
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|b Omnipress,
|c 2011-03-15T13:23:56Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/61698
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|a For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally occurring supervision. These models allow us to substantially improve performance for core text processing tasks, such as morphological segmentation, part-of-speech tagging, and syntactic parsing. Besides these traditional NLP tasks, we also present a multilingual model for the computational decipherment of lost languages.
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|a en_US
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|a Article
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|t Proceedings of the 27th International Conference on Machine Learning (ICML-10)
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