January 1, 1995Open Access

Identifying word translations in non-parallel texts

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Resumen

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.

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Cite This Study

Reinhard Rapp (Sun,) studied this question.

synapsesocial.com/papers/6a17032ab13aec50ea6bc17e https://doi.org/https://doi.org/10.3115/981658.981709

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5THE COMPLETE GERMAN LANGUAGE NORMS FOR RESPONSES TO 100 WORDS FROM THE KENT-ROSANOFF WORD ASSOCIATION TEST11The work reported here was carried out during the writer's tenure as a Senior Research Scholar at the University of Wuerzburg under a United States Government Grant (Fulbright Act). Appreciation must be expressed for the cooperation given by Dr. W. Arnold, head of the Psychological Institute at Wuerzburg. The assistance of Oskar R. Meseck at all stages of data collection is also acknowledged, as is the invaluable aid of Drs. Erwin Roth, Klaus Foppa, and Ferdinand Merz, particularly pertaining to translation of English into German.1970 · 44 citations

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