Inducing translation lexicons via diverse similarity measures and bridge languages

Authors:
Charles Schafer;David Yarowsky
Affiliations:
Johns Hopkins University, Baltimore, MD;Johns Hopkins University, Baltimore, MD
Venue:
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Year:
2002

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Abstract

This paper presents a method for inducing translation lexicons between two distant languages without the need for either parallel bilingual corpora or a direct bilingual seed dictionary. The algorithm successfully combines temporal occurrence similarity across dates in news corpora, wide and local cross-language context similarity, weighted Levenshtein distance, relative frequency and burstiness similarity measures. These similarity measures are integrated with the bridge language concept under a robust method of classifier combination for both the Slavic and Northern Indian language families.