Non-Projective Parsing for Statistical Machine Translation
We describe a novel approach for syntax-based statistical MT, which builds on a variant of tree adjoining grammar (TAG). Inspired by work in discriminative dependency parsing, the key idea in our approach is to allow highly flexible reordering operations during parsing, in combination with a discrim...
Main Authors: | Carreras Perez, Xavier (Contributor), Collins, Michael (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery,
2010-10-15T14:58:44Z.
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Subjects: | |
Online Access: | Get fulltext |
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