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Sentence Alignment Methods for Improving Text Simplification Systems

2017-07-01ACL 2017Unverified0· sign in to hype

Sanja {\v{S}}tajner, Marc Franco-Salvador, Simone Paolo Ponzetto, Paolo Rosso, Heiner Stuckenschmidt

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Abstract

We provide several methods for sentence-alignment of texts with different complexity levels. Using the best of them, we sentence-align the Newsela corpora, thus providing large training materials for automatic text simplification (ATS) systems. We show that using this dataset, even the standard phrase-based statistical machine translation models for ATS can outperform the state-of-the-art ATS systems.

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