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NAACL
2010

Word Alignment with Stochastic Bracketing Linear Inversion Transduction Grammar

10 years 11 months ago
Word Alignment with Stochastic Bracketing Linear Inversion Transduction Grammar
The class of Linear Inversion Transduction Grammars (LITGs) is introduced, and used to induce a word alignment over a parallel corpus. We show that alignment via Stochastic Bracketing LITGs is considerably faster than Stochastic Bracketing ITGs, while still yielding alignments superior to the widelyused heuristic of intersecting bidirectional IBM alignments. Performance is measured as the translation quality of a phrase-based machine translation system built upon the word alignments, and an improvementof 2.85 BLEU points over baseline is noted for French
Markus Saers, Joakim Nivre, Dekai Wu
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where NAACL
Authors Markus Saers, Joakim Nivre, Dekai Wu
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