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COLING
2010
14 years 4 months ago
Semantic Role Features for Machine Translation
We propose semantic role features for a Tree-to-String transducer to model the reordering/deletion of source-side semantic roles. These semantic features, as well as the Tree-to-S...
Ding Liu, Daniel Gildea
AMTA
2004
Springer
15 years 3 months ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash
EMNLP
2007
14 years 11 months ago
Chinese Syntactic Reordering for Statistical Machine Translation
Syntactic reordering approaches are an effective method for handling word-order differences between source and target languages in statistical machine translation (SMT) systems. T...
Chao Wang, Michael Collins, Philipp Koehn
59
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ICASSP
2010
IEEE
14 years 10 months ago
Automatic disfluency removal for improving spoken language translation
Statistical machine translation (SMT) systems for spoken languages suffer from conversational speech phenomena, in particular, the presence of speech dis uencies. We examine the i...
Wen Wang, Gökhan Tür, Jing Zheng, Necip ...
EMNLP
2008
14 years 11 months ago
Decomposability of Translation Metrics for Improved Evaluation and Efficient Algorithms
BLEU is the de facto standard for evaluation and development of statistical machine translation systems. We describe three real-world situations involving comparisons between diff...
David Chiang, Steve DeNeefe, Yee Seng Chan, Hwee T...