P12-1031 target-to-source ( backward ) lexicon translation model is defined similarly .
D08-1058 approach through cross-lingual lexicon translation does not work well for Chinese
P10-1011 lexicons as nodes . The input lexicons translation pairs define the edges in the
D13-1046 generic dictionaries in specialized lexicon translation approaches . However , it is
P12-1031 , including forward phrase and lexicon translation probabilities and their backward
P12-1031 phrase counts , and phrase and lexicon translation models . Given the focus of this
P12-1031 transformation ( GT ) for phrase and lexicon translation probabilities . A GT is a transformation
P07-1123 subjectivity more reliably than the lexicon translations . Finally , neither one of the
P12-1031 parameters in common phrase and lexicon translation models is much larger . In this
P12-1031 transformations for phrase and lexicon translation probabilities to iteratively
P12-1031 we review only the phrase and lexicon translation models below . 3.1 . Phrase translation
P12-1031 learning method for phrase and lexicon translation models . The training objective
P12-1031 method in constructing phrase and lexicon translation models . In order to reliably
P11-2051 includes the bidirectional phrase and lexicon translation probabilities . In addition ,
P12-1031 work , however , the phrase and lexicon translation models used remained unchanged
P07-1123 exploration and use of cross-lingual lexicon translations and annotation projections .
P12-1031 There are several variations in lexicon translation features ( Ayan and Dorr 2006
P07-1123 This is most likely due to the lexicon translation process , which as mentioned
P12-1031 the parameters in the phrase and lexicon translation models are estimated by relative
P07-1123 jectivity ) observed during the lexicon translation by accounting for the context
hide detail