W15-1523 one of its synonyms . For the list extraction setup , the training word pairs
W10-1102 and creatinine . The medication list extraction process uses a manually created
N07-2015 Related work The idea of n-best list extraction from a word graph for SMT was
N07-2015 described an efficient n-best list extraction method that is based on the k
W05-0834 present ef cient pruning and N-best list extraction techniques . In Section 4 , we
N07-2015 timeconsuming than the actual n-best list extraction . The average generation time
W15-1523 synonyms is 0.020 , while for the list extractions , it is 0.040 . Both lead to
W15-1523 although there is some noise , the list extraction also captures semantically meaningful
W05-0834 full path scores . + The N-best list extraction does not eliminate duplicates
W05-0834 -LSB- ? -RSB- C / t 3.4 N-Best List Extraction In this section , we describe
W10-1744 scoring element , until k-best list extraction when it is lazily unpacked .
N07-2015 the simplex method . 2.2 N-best list extraction We incorporated an efficient
W02-1207 growth is studied by using Word list Extraction tool to extract word lists from
N07-2015 2006 ) and enhance the n-best list extraction with Eppstein 's k shortest path
W06-3119 submission , we modified the K-Best list extraction process to integrate an n-gram
J14-4002 lattice rescoring rather than n-best list extraction . Similar problems arise when
W06-3119 language model into the K-Best list extraction process . Our final system shows
D10-1115 site . We performed some of the list extraction and checking operations we are
W15-1523 semantic proximity of words . 4.2 List Extraction Lists and enumerations are another
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