Statistical Phrase-Based Translation
Koehn et al., 2003, Statistical Phrase-Based Translation (Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of ACL (HLT-NAACL 2003))
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3 Methods for Learning Phrase Translation
- Which three ways of building a phrase table did Koehn et al. compare?(1) All phrase pairs consistent with word alignments from GIZA++ (IBM models); (2) only syntactic phrases, pairs that are also subtrees in parse trees of both sides; (3) the joint phrase model of Marcu and Wong (2002), which learns phrase-level alignments directly with EM.
- Koehn et al., 2003, Statistical Phrase-Based Translation (Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of ACL (HLT-NAACL 2003)), §3, p. 50
Source
- Philipp Koehn, Franz Josef Och and Daniel Marcu. 2003. Statistical Phrase-Based Translation. In Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2003), pp. 48–54. https://aclanthology.org/N03-1017/