SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic identification of word translations from unrelated English and German corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Learning a translation lexicon from monolingual corpora
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
Efficient parsing of highly ambiguous context-free grammars with bit vectors
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
An approach to acquire word translations from non-parallel texts
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Sentiment translation through lexicon induction
ACLstudent '10 Proceedings of the ACL 2010 Student Research Workshop
A linguistically grounded graph model for bilingual lexicon extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Sentiment translation through multi-edge graphs
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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This paper presents a graph-theoretic approach to the identification of yet-unknown word translations. The proposed algorithm is based on the recursive Sim-Rank algorithm and relies on the intuition that two words are similar if they establish similar grammatical relationships with similar other words. We also present a formulation of SimRank in matrix form and extensions for edge weights, edge labels and multiple graphs.