Chinese word segmentation based on analogy and majority voting

Zongrong Zheng; Yi Wang; Yves Lepage

Chinese word segmentation based on analogy and majority voting

Zongrong Zheng, Yi Wang, Yves Lepage

Graduate School of Information, Production and Systems

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper proposes a new method of Chinese word segmentation based on proportional analogy and majority voting. First, we introduce an analogy-based method for solving the word segmentation problem. Second, we show how to use majority voting to make the decision on where to segment. The preliminary results show that this approach compares well with other segmenters reported in previous studies. As an important and original feature, our method does not need any pretraining or lexical knowledge.

Original language	English
Pages	151-156
Number of pages	6
Publication status	Published - 2015
Event	29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 - Shanghai, China Duration: 2015 Oct 30 → 2015 Nov 1

Other

Other	29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015
Country/Territory	China
City	Shanghai
Period	15/10/30 → 15/11/1

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Linguistics and Language

Cite this

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title = "Chinese word segmentation based on analogy and majority voting",

abstract = "This paper proposes a new method of Chinese word segmentation based on proportional analogy and majority voting. First, we introduce an analogy-based method for solving the word segmentation problem. Second, we show how to use majority voting to make the decision on where to segment. The preliminary results show that this approach compares well with other segmenters reported in previous studies. As an important and original feature, our method does not need any pretraining or lexical knowledge.",

author = "Zongrong Zheng and Yi Wang and Yves Lepage",

year = "2015",

language = "English",

pages = "151--156",

note = "29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 ; Conference date: 30-10-2015 Through 01-11-2015",

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AU - Zheng, Zongrong

AU - Wang, Yi

AU - Lepage, Yves

PY - 2015

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AB - This paper proposes a new method of Chinese word segmentation based on proportional analogy and majority voting. First, we introduce an analogy-based method for solving the word segmentation problem. Second, we show how to use majority voting to make the decision on where to segment. The preliminary results show that this approach compares well with other segmenters reported in previous studies. As an important and original feature, our method does not need any pretraining or lexical knowledge.

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M3 - Paper

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T2 - 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015

Y2 - 30 October 2015 through 1 November 2015

ER -

Chinese word segmentation based on analogy and majority voting

Abstract

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ASJC Scopus subject areas

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