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- 444 creator enric-monte.
- 444 creator jose-a-r-fonollosa.
- 444 creator marta-r-costa-jussa.
- 444 type InProceedings.
- 444 label "Using Reordering in Statistical Machine Translation based on Alignment Block Classification".
- 444 sameAs 444.
- 444 abstract "Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are assumed to be capable of learning reorderings of sequences of words. However, the difference in word order between two languages is one of the most important sources of errors in SMT. This paper proposes a Recursive Alignment Block Classification algorithm (RABCA) that can take advantage of inductive learning in order to solve reordering problems. This algorithm should be able to cope with swapping examples seen during training; it should infer properties that might permit to reorder pairs of blocks (sequences of words) which did not appear during training; and finally it should be robust with respect to training errors and ambiguities. Experiments are reported on the EuroParl task and RABCA is tested using two state-of-the-art SMT systems: a phrased-based and an Ngram-based. In both cases, RABCA improves results.".
- 444 hasAuthorList authorList.
- 444 hasTopic Linguistics.
- 444 isPartOf proceedings.
- 444 keyword "Machine Translation, SpeechToSpeech Translation".
- 444 keyword "Other".
- 444 keyword "Statistical methods".
- 444 title "Using Reordering in Statistical Machine Translation based on Alignment Block Classification".