The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Aligning sentences in parallel corpora
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Aligning sentences in bilingual corpora using lexical information
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Improving Machine Translation Performance by Exploiting Non-Parallel Corpora
Computational Linguistics
Processing comparable corpora with Bilingual Suffix Trees
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Parallel implementations of word alignment tool
SETQA-NLP '08 Software Engineering, Testing, and Quality Assurance for Natural Language Processing
A comparable corpus based on aligned multilingual ontologies
MM '12 Proceedings of the First Workshop on Multilingual Modeling
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The paper presents an Expectation Maximization (EM) algorithm for automatic generation of parallel and quasi-parallel data from any degree of comparable corpora ranging from parallel to weakly comparable. Specifically, we address the problem of extracting related textual units (documents, paragraphs or sentences) relying on the hypothesis that, in a given corpus, certain pairs of translation equivalents are better indicators of a correct textual unit correspondence than other pairs of translation equivalents. We evaluate our method on mixed types of bilingual comparable corpora in six language pairs, obtaining state of the art accuracy figures.