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Exploiting a comparability mapping to improve bi-lingual data categorization: a three-mode data analysis perspective
Our experiments show clear improvements in clustering and classification accuracies when mixing comparability with similarity measures, with, as expected, a higher robustness obtained when the two comparability variant measures that we propose are used.
Variations on quantitative comparability measures and their evaluations on synthetic French-English comparable corpora
After recalling the definition of the quantitative comparability measure proposed by {\textbackslash}cite{Li-Gaussier-10}, we develop some variants of this measure based primarily on the consideration that the occurrence frequencies of lexical entries and the number of their translations are important.
Co-clustering of bilingual datasets as a mean for assisting the construction of thematic bilingual comparable corpora
We address in this paper the assisted construction of bilingual thematic comparable corpora by means of co-clustering bilingual documents collected from raw sources such as the Web.
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