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Noun-Verb Pairs in Taiwan Sign Language Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Text Rewriting Pattern Mining Based on Monolingual Alignment

Authors : Yuxiang Jia, Lu Wang, Hongying Zan

Published in: Chinese Lexical Semantics

Publisher: Springer International Publishing

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Abstract

Text rewriting pattern mining was important for stylistic change detection and machine (aided) writing. This paper combined monolingual sentence alignment and monolingual word alignment for text rewriting pattern mining. Edit distance was used to compute sentence similarity for sentence alignment, and a log-linear modification of IBM Model 2 was used for word alignment. We built a rewriting corpus of Jin Yong’s novels, on which quantitative and qualitative experiments were carried out. Rewriting patterns were extracted and classified, including function word usages and some content word usages, which reflected the stylistic shift of the author.

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previous chapter Answer Ranking Based on Language Phenomenon Recognition
next chapter Sense Group Segmentation for Chinese Second Language Reading Based on Conditional Random Fields
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Metadata
Title
Text Rewriting Pattern Mining Based on Monolingual Alignment
Authors
Yuxiang Jia
Lu Wang
Hongying Zan
Copyright Year
2018
Book
Chinese Lexical Semantics

Print ISBN: 978-3-030-04014-7

Electronic ISBN: 978-3-030-04015-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-04015-4_47

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