W03-1108 terminology . A hybrid combination to linguistics-based pruning showed its efficiency across
W03-1108 simple model . Moreover , the linguistics-based pruning technique has allowed an improvement
W03-1108 models and the combination to linguistics-based pruning are described in Table 3 . Evaluations
W03-1108 two-stages comparable corpora with the linguistics-based pruning shows better results with ranks
P03-2025 the translation alternatives . Linguistics-based pruning was highly effective in CLIR
W03-1108 candidates . The objective of the linguistics-based pruning technique is the detection of
W03-1108 two-stages comparable corpora and linguistics-based pruning on Cross - Language Information
W03-1108 combined statistics-based and linguistics-based pruning ' BCC+M orph ' was found statistically
W03-1108 to the Japanese query after the linguistics-based pruning is illustrated as follows : '
P03-2025 term and target translation . 2.2 Linguistics-based Pruning Morphological knowledge such
P03-2025 monolingual retrieval . Combination to linguistics-based pruning showed a better performance in
P03-2025 two-stages comparable corpora and linguistics-based pruning . The proposed approach based
W03-1108 with +27.1 % . Combination to Linguistics-based pruning showed the best performance in
W03-1108 t | s ) X simT S ( s | t ) } 3 Linguistics-based Pruning Combining linguistic and statistical
W03-1108 day taikai great meet - ing ' . Linguistics-based pruning was applied on the Japanese terms
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