175 search results - page 4 / 35 » A Probability Model to Improve Word Alignment |
ACL
2006
13 years 7 months ago
2006
This paper proposes an approach to improve word alignment for languages with scarce resources using bilingual corpora of other language pairs. To perform word alignment between la...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
ACL
2010
13 years 3 months ago
2010
This paper proposes to use monolingual collocations to improve Statistical Machine Translation (SMT). We make use of the collocation probabilities, which are estimated from monoli...
ACL
2008
13 years 7 months ago
2008
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
TASLP
2008
13 years 5 months ago
2008
HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that alignment and parameter estimation can be performed efficiently....