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EMNLP
2011

Training a Parser for Machine Translation Reordering

9 years 11 months ago
Training a Parser for Machine Translation Reordering
We propose a simple training regime that can improve the extrinsic performance of a parser, given only a corpus of sentences and a way to automatically evaluate the extrinsic quality of a candidate parse. We apply our method to train parsers that excel when used as part of a reordering component in a statistical machine translation system. We use a corpus of weakly-labeled reference reorderings to guide parser training. Our best parsers contribute significant improvements in subjective translation quality while their intrinsic attachment scores typically regress.
Jason Katz-Brown, Slav Petrov, Ryan T. McDonald, F
Added 20 Dec 2011
Updated 20 Dec 2011
Type Journal
Year 2011
Where EMNLP
Authors Jason Katz-Brown, Slav Petrov, Ryan T. McDonald, Franz Josef Och, David Talbot, Hiroshi Ichikawa, Masakazu Seno, Hideto Kazawa
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