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arXiv · 1612.04113

Vicinity-Driven Paragraph and Sentence Alignment for Comparable Corpora

Gustavo Henrique Paetzold·Lucia Specia
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Abstract

Parallel corpora have driven great progress in the field of Text Simplification. However, most sentence alignment algorithms either offer a limited range of alignment types supported, or simply ignore valuable clues present in comparable documents. We address this problem by introducing a new set of flexible vicinity-driven paragraph and sentence alignment algorithms that 1-N, N-1, N-N and long distance null alignments without the need for hard-to-replicate supervised models.

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Gustavo Henrique Paetzold, Lucia Specia. 2016-12-13. Vicinity-Driven Paragraph and Sentence Alignment for Comparable Corpora. https://arxiv.org/abs/1612.04113

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