Estimating Word Translation Probabilities from Unrelated Monolingual Corpora Using the EM Algorithm
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Bitext maps and alignment via pattern recognition
Computational Linguistics
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
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COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Finding cognate groups using phylogenies
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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This paper describes an algorithm to automatically generate a list of cognates in a target language by means of Support Vector Machines. While Levenshtein distance was used to align the training file, no knowledge repository other than an initial list of cognates used for training purposes was input into the algorithm. Evaluation was set up in a cognate production scenario which mimed a real-life situation where no word lists were available in the target language, delivering the ideal environment to test the feasibility of a more ambitious project that will involve language portability. An overall improvement of 50.58% over the baseline showed promising horizons.