A Probabilistic Model of Early Argument Structure Acquisition
Developing computational algorithms that capture the complex structure of natural language is an open problem. In particular, learning the abstract properties of language only from usage data remains a challenge. In this dissertation, we present a probabilistic usage-based model of verb argument str...
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| Format: | Others |
| Language: | en_ca |
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2008
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| Online Access: | http://hdl.handle.net/1807/11180 |