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An Improved Class-Center Method for Text Classification Using Dependencies and WordNet Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable

Authors : Jie Zhu, Shugen Wang, Yanru Wu, Meijing Guan, Yang Feng

Published in: Natural Language Processing and Chinese Computing

Publisher: Springer International Publishing

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Abstract

In this paper, aiming at the problems including but not limited to Tibetan sorting, Tibetan syllable component attribute statistics, Tibetan speech recognition in the application field of component recognition of Tibetan syllable, we propose a new algorithm for component decomposition and type recognition of Tibetan syllable based on TSRM (Tibetan Syllable Rule Model). Experimental results on mixed-arranged complex Tibetan texts show that our newly proposed algorithm can achieve a score around 90% both accuracy rate and recall rate for Component Decomposition and Type Recognition of Tibetan Syllable.

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Metadata
Title
A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable
Authors
Jie Zhu
Shugen Wang
Yanru Wu
Meijing Guan
Yang Feng
Copyright Year
2019
Book
Natural Language Processing and Chinese Computing

Print ISBN: 978-3-030-32235-9

Electronic ISBN: 978-3-030-32236-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-32236-6_34

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