Computational Linguistics - Special issue on using large corpora: I
A statistical approach to language translation
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Construction of a bilingual dictionary intermediated by a third language
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
iChi: a bilingual dictionary generating tool
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Analyzing methods for improving precision of pivot based bilingual dictionaries
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Statistical machine translation enhancements through linguistic levels: A survey
ACM Computing Surveys (CSUR)
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Bilingual dictionaries are vital resources in many areas of natural language processing. Numerous methods of machine translation require bilingual dictionaries with large coverage, but less-frequent language pairs rarely have any digitalized resources. Since the need for these resources is increasing, but the human resources are scarce for less represented languages, efficient automatized methods are needed. This paper introduces a fully automated, robust pivot language based bilingual dictionary generation method that uses the WordNet of the pivot language to build a new bilingual dictionary. We propose the usage of WordNet in order to increase accuracy; we also introduce a bidirectional selection method with a flexible threshold to maximize recall. Our evaluations showed 79% accuracy and 51% weighted recall, outperforming representative pivot language based methods. A dictionary generated with this method will still need manual post-editing, but the improved recall and precision decrease the work of human correctors.