论文信息 - Identifying Word Translations in Non-Parallel Texts

Identifying Word Translations in Non-Parallel Texts

Common algorithms for sentence and word-alignment allow the automatic identification of word translations from parallel texts. This study suggests that the identification of word translations should also be possible with non-parallel and even unrelated texts. The method proposed is based on the assumption that there is a correlation between the patterns of word co-occurrences in texts of different languages.

Reinhard Rapp | R. Rapp

[1] Grace Helen Kent,et al. A Study Of Association In Insanity , 1910 .

[2] Martin Kay,et al. Text-Translation Alignment , 1993, Comput. Linguistics.

[3] John Cocke,et al. A Statistical Approach to Machine Translation , 1990, CL.

[4] W. Russell. THE COMPLETE GERMAN LANGUAGE NORMS FOR RESPONSES TO 100 WORDS FROM THE KENT-ROSANOFF WORD ASSOCIATION TEST , 1970 .

[5] Kenneth Ward Church,et al. Introduction to the Special Issue on Computational Linguistics Using Large Corpora , 1993, Comput. Linguistics.

[6] Kenneth Ward Church,et al. Robust Bilingual Word Alignment for Machine Aided Translation , 1993, VLC@ACL.

[7] Reinhard Rapp,et al. Computation of Word Associations Based on Co-occurrences of Words in Large Corpora , 1993, VLC@ACL.