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Sentence alignment for monolingual comparable corpora

Elhadad, Noemie; Barzilay, Regina

We address the problem of sentence alignment for monolingual corpora, a phenomenon distinct from alignment in parallel corpora. Aligning large comparable corpora automatically would provide a valuable resource for learning of text-to-text rewriting rules. We incorporate context into the search for an optimal alignment in two complementary ways: learning rules for matching paragraphs using topic structure and further refining the matching through local alignment to find good sentence pairs. Evaluation shows that our alignment method outperforms state-of-the-art systems developed for the same task.

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More About This Work

Academic Units
Computer Science
Publisher
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Published Here
May 10, 2013
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