Yevgeny Ludovik


2000

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The Week at a Glance - Cross-language Cross-document Information Extraction and Translation
Jim Cowie | Yevgeny Ludovik | Hugo Molina-Salgado | Sergei Nirenburg
COLING 2000 Volume 2: The 18th International Conference on Computational Linguistics

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MT and Topic-Based Techniques to Enhance Speech Recognition Systems for Professional Translators
Yevgeny Ludovik | Ron Zacharski
COLING 2000 Volume 2: The 18th International Conference on Computational Linguistics

1999

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Multilingual document language recognition for creating corpora
Yevgeny Ludovik | Ron Zacharski
Proceedings of Machine Translation Summit VII

In this paper we describe a language recognition algorithm for multilingual documents that is based on mixed-order n-grams, Markov chains, maximum likelihood, and dynamic programming. We present the results of an experimental study that showed that the performance of this algorithm has practical value.

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Using a target language model for domain independent lexical disambiguation
Jim Cowie | Yevgeny Ludovik | Sergei Nirenburg
Proceedings of Machine Translation Summit VII

In this paper we describe a lexical disambiguation algorithm based on a statistical language model we call maximum likelihood disambiguation. The maximum likelihood method depends solely on the target language. The model was trained on a corpus of American English newspaper texts. Its performance was tested using output from a transfer based translation system between Turkish and English. The method is source language independent, and can be used for systems translating from any language into English.