C02-1072 dictionaries , are utilized in translation selection essentially . We have used k-nearest
C92-2080 selecting the basis for the equivalent translation selection using the statistical data on
C02-1011 candidates of a given Base NP . In translation selection , we find out possible translation
C02-1011 target language on the web . In translation selection , we determine the possible translation
C02-1072 of the accuracy performance in translation selection based on data-driven models .
C02-1011 one word in the contexts . In translation selection , they select the translation
C02-1011 translation candidate collection and translation selection . In translation candidate collection
C02-1072 flgure 1-3 show the results of translation selection with respect to the applied model
C02-1011 as a variant of it to perform translation selection . The key components are ( 1
C02-1011 as a variant of it to perform translation selection . The key components are ( 1
C02-1072 Evaluation of Data-driven Models in Translation Selection of Machine Translation </title>
C02-1011 translation on the 1000 phrases . In translation selection , we employed Table 1 shows the
C92-2086 some leatures to the existing translation selection mechanism through the use of
C92-2086 and the deverbal noun . The new translation selection mechanism was implemented by
C92-2080 new method for the equivalent translation selection in the former chapter using statistical
C02-1011 candidate collection , and ( 2 ) translation selection . In translation candidate collection
C02-1072 for the purpose of appropriate translation selection of a word . To break down the
C02-1011 Selection -- EM-TF-IDF We view the translation selection problem as that of calculating
C92-2080 of DMAX Criteria for equivalent translation selection in the third section . And last
C02-1011 -- EM-NBC-Ensemble We view the translation selection problem as that of classification
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