126 search results - page 11 / 26 » Learning Finite-State Models for Machine Translation |
LREC
2008
14 years 11 months ago
2008
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...
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ICTAI
2010
IEEE
14 years 7 months ago
2010
IEEE
Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
COLING
2008
14 years 11 months ago
2008
Bracketing Transduction Grammar (BTG) is a natural choice for effective integration of desired linguistic knowledge into statistical machine translation (SMT). In this paper, we p...
ICCPOL
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. We propose a lexicalized syntactic reordering framework for crosslanguage word aligning and translating researches. In this framework, we first flatten hierarchical sourc...
COLING
2010
14 years 4 months ago
2010
Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...