The nature of statistical learning theory
The nature of statistical learning theory
Computational Linguistics - Special issue on web as corpus
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Principle-based parsing without overgeneration
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Effect of cross-language IR in bilingual lexicon acquisition from comparable corpora
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Fast methods for kernel-based text analysis
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
A geometric view on bilingual lexicon extraction from comparable corpora
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Extracting parallel sub-sentential fragments from non-parallel corpora
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
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This paper presents a method of retrieving bilingual collocations of a verb and its objective noun from cross-lingual documents with similar contents. Relevant documents are obtained by integrating cross-language hierarchies. The results showed a 15.1% improvement over the baseline non-hierarchy model, and a 6.0% improvement over use of relevant documents retrieved from a single hierarchy. Moreover, we found that some of the retrieved collocations were domain-specific.