Multilingual Part-of-Speech Tagging Two Unsupervised Approaches
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The central assumption of our work is that by combining cues from multiple languages, the structure of each becomes more apparent. We consider two ways of applying this intuition to the problem of u...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
AI Access Foundation
2011
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| Online Access: | http://hdl.handle.net/1721.1/62804 https://orcid.org/0000-0002-2921-8201 |