Vicinity-Driven Paragraph and Sentence Alignment for Comparable Corpora
Computation and Language
2016-12-14 v1
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.
Cite
@article{arxiv.1612.04113,
title = {Vicinity-Driven Paragraph and Sentence Alignment for Comparable Corpora},
author = {Gustavo Henrique Paetzold and Lucia Specia},
journal= {arXiv preprint arXiv:1612.04113},
year = {2016}
}