Bayesian Models for Multilingual Word Alignment
In this thesis I explore Bayesian models for word alignment, how they can be improved through joint annotation transfer, and how they can be extended to parallel texts in more than two languages. In addition to these general methodological developments, I apply the algorithms to problems from sign l...
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| Format: | Doctoral Thesis |
| Language: | English |
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Stockholms universitet, Institutionen för lingvistik
2015
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-115541 http://nbn-resolving.de/urn:isbn:978-91-7649-151-5 |