Cross-Lingual Word Sense Disambiguation for Low-Resource Hybrid Machine Translation
<p> This thesis argues that cross-lingual word sense disambiguation (CL-WSD) can be used to improve lexical selection for machine translation when translating from a resource-rich language into an under-resourced one, especially when relatively little bitext is available. In CL-WSD, we perform...
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| Language: | EN |
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Indiana University
2019
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=13422906 |