Models of translational equivalence among words
Computational Linguistics
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Machine translation of very close languages
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Identifying cognates by phonetic and semantic similarity
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Multipath translation lexicon induction via bridge languages
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Improved statistical alignment models
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Unsupervised multilingual learning for POS tagging
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Unsupervised multilingual grammar induction
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Corpora building and processing
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Multilingual part-of-speech tagging: two unsupervised approaches
Journal of Artificial Intelligence Research
Unsupervised multilingual learning
Unsupervised multilingual learning
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Dictionaries and word translation models are used by a variety of systems, especially in machine translation. We build a multilingual dictionary induction system for a family of related resource-poor languages. We assume only the presence of a single medium-length multitext (the Bible). The techniques rely upon lexical and syntactic similarity of languages as well as on the fact that building dictionaries for several pairs of languages provides information about other pairs.