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decoding with syntactic and non-syntactic phrases in a syntax-based machine translation system (2009)
| Content Provider | CiteSeerX |
|---|---|
| Author | Hanneman, Greg Lavie, Alon |
| Description | A key concern in building syntax-based ma-chine translation systems is how to improve coverage by incorporating more traditional phrase-based SMT phrase pairs that do not correspond to syntactic constituents. At the same time, it is desirable to include as much syntactic information in the system as pos-sible in order to carry out linguistically mo-tivated reordering, for example. We apply an extended and modified version of the ap-proach of Tinsley et al. (2007), extracting syntax-based phrase pairs from a large parallel parsed corpus, combining them with PBSMT phrases, and performing joint decoding in a syntax-based MT framework without loss of translation quality. This effectively addresses the low coverage of purely syntactic MT with-out discarding syntactic information. Further, we show the potential for improved transla-tion results with the inclusion of a syntactic grammar. We also introduce a new syntax-prioritized technique for combining syntactic and non-syntactic phrases that reduces overall phrase table size and decoding time by 61%, with only a minimal drop in automatic trans-lation metric scores. 1 |
| File Format | |
| Language | English |
| Publisher Date | 2009-01-01 |
| Publisher Institution | In Proceedings of the Third Workshop on Syntax and Structure in Statistical Translation (SSST-3 |
| Access Restriction | Open |
| Subject Keyword | Much Syntactic Information Modified Version Joint Decoding Pbsmt Phrase Syntax-based Ma-chine Translation System Low Coverage Syntactic Constituent Non-syntactic Phrase Syntax-based Machine Translation System Overall Phrase Table Size Mo-tivated Reordering Large Parallel Traditional Phrase-based Smt Phrase Pair Automatic Trans-lation Metric Score Syntactic Mt With-out Syntactic Grammar Minimal Drop Improved Transla-tion Result New Syntax-prioritized Technique Translation Quality Syntactic Information Syntax-based Mt Framework Decoding Time Key Concern Syntax-based Phrase Pair |
| Content Type | Text |
| Resource Type | Article |
