C00-1056 their mapping to Korean . The alignment process in training consists of two stages
E03-1026 of clues can be included in the alignment process . The alignment experiments ,
D14-1043 each factor in the fragment-level alignment process . We can not ascribe the benefit
E09-1020 meanings . What we want to do in the alignment process is find the parts of the sentences
E03-1026 previous section for an automatic alignment process . In our approach , we use the
D12-1123 into WTM to constrain the word alignment process , in order to identify opinion
D14-1043 priors on the segmentation and alignment processes . 5.2 Results We evaluate our
D14-1060 three models that enable word alignment process to leverage topical contents
C04-1154 ambiguities . As we wish to develop an alignment process for use in MT rather than parsing
E09-1063 lead to an improvement in the alignment process in an MT con - text . 3.4 Bootstrapped
D09-1092 for more computationally intense alignment processes without the sentence-aligned
C00-1056 from the training corpus . The alignment process always produces one result .
C96-1037 senses of rules applied in the alignment process . The rest of this paper is organized
E03-1026 , they can be dismissed in the alignment process . 3 Clue Alignment Word alignment
D15-1142 the bilingual data and the word alignment process rather than on achieving more
C04-1053 language . In these cases , if the alignment process puts the two expressions in correspondence
E09-1096 addition , this method speeds up the alignment process without compromising performance
C04-1154 Figures 7 and 8 respectively . The alignment process is always initialised by finding
D15-1051 and do not use it as part of the alignment process . We use Moses ( Koehn et al.
D13-1049 align - ment , it can improve the alignment process and can then be combined with
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