Self-organizing maps
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Structural matching of parallel texts
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
An algorithm for simultaneously bracketing parallel texts by aligning words
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A statistical approach to language translation
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Learning translation templates from bilingual text
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Self-organizing Chinese and Japanese semantic maps
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Word alignment between chinese and japanese using maximum weight matching on bipartite graph
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
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Effective self-organizing techniques for constructing monolingual semantic maps of Japanese and Chinese have already been developed. By extending the monolingual map to a bilingual semantic map, we have proposed a semantics-based approach for word alignment in a Japanese/Chinese bilingual corpus.