Paper: Automatic Identification Of Word Translations From Unrelated English And German Corpora

ACL ID P99-1067
Title Automatic Identification Of Word Translations From Unrelated English And German Corpora
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

Algorithms for the alignment of words in translated texts are well established. How- ever, only recently new approaches have been proposed to identify word translations from non-parallel or even unrelated texts. This task is more difficult, because most statistical clues useful in the processing of parallel texts cannot be applied to non-par- allel texts. Whereas for parallel texts in some studies up to 99% of the word align- ments have been shown to be correct, the accuracy for non-parallel texts has been around 30% up to now. The current study, which is based on the assumption that there is a correlation between the patterns of word co-occurrences in corpora of different lan- guages, makes a significant improvement to about 72% of word translations identified correctly.