Distant BI-Gram model, collocation, and their applications in post-processing for Chinese character recognition

Rui Feng Xu; Qin Lu; Daniel S. Yeung; Xi Zhao Wang

Distant BI-Gram model, collocation, and their applications in post-processing for Chinese character recognition

Rui Feng Xu, Qin Lu, Daniel S. Yeung, Xi Zhao Wang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In this paper, we present a Distant BI-Gram model, which extended the regular BI-Gram model by considering the distance information and weight parameters, in order to describe the long-distance restrictions among the Chinese sentence. The extraction of the statistical information and weight parameters of this language model is discussed. Based on this work, the word combination strength and spread are employed to extract the recurrent word combinations, i.e. collocations. The Distant BI-Gram Model and collocation are applied to a statistic-based post-processing system for improving the recognition performance of Chinese character. The experimental results show that by employ these two language models, the post-processing system achieves a higher improvement performance.

Original language	English
Title of host publication	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Pages	2251-2255
Number of pages	5
Volume	4
Publication status	Published - 1 Dec 2002
Event	Proceedings of 2002 International Conference on Machine Learning and Cybernetics - Beijing, China Duration: 4 Nov 2002 → 5 Nov 2002

Conference

Conference	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Beijing
Period	4/11/02 → 5/11/02

Keywords

Character recognition
Collocation
Distant BI-Gram
Post-processing

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{658523306b524f0fb5c6f2c24e8c9382,

title = "Distant BI-Gram model, collocation, and their applications in post-processing for Chinese character recognition",

abstract = "In this paper, we present a Distant BI-Gram model, which extended the regular BI-Gram model by considering the distance information and weight parameters, in order to describe the long-distance restrictions among the Chinese sentence. The extraction of the statistical information and weight parameters of this language model is discussed. Based on this work, the word combination strength and spread are employed to extract the recurrent word combinations, i.e. collocations. The Distant BI-Gram Model and collocation are applied to a statistic-based post-processing system for improving the recognition performance of Chinese character. The experimental results show that by employ these two language models, the post-processing system achieves a higher improvement performance.",

keywords = "Character recognition, Collocation, Distant BI-Gram, Post-processing",

author = "Xu, {Rui Feng} and Qin Lu and Yeung, {Daniel S.} and Wang, {Xi Zhao}",

year = "2002",

month = dec,

day = "1",

language = "English",

isbn = "0780375084",

volume = "4",

pages = "2251--2255",

booktitle = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",

note = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics ; Conference date: 04-11-2002 Through 05-11-2002",

}

Distant BI-Gram model, collocation, and their applications in post-processing for Chinese character recognition. / Xu, Rui Feng; Lu, Qin; Yeung, Daniel S. et al.
Proceedings of 2002 International Conference on Machine Learning and Cybernetics. Vol. 4 2002. p. 2251-2255.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Distant BI-Gram model, collocation, and their applications in post-processing for Chinese character recognition

AU - Xu, Rui Feng

AU - Lu, Qin

AU - Yeung, Daniel S.

AU - Wang, Xi Zhao

PY - 2002/12/1

Y1 - 2002/12/1

N2 - In this paper, we present a Distant BI-Gram model, which extended the regular BI-Gram model by considering the distance information and weight parameters, in order to describe the long-distance restrictions among the Chinese sentence. The extraction of the statistical information and weight parameters of this language model is discussed. Based on this work, the word combination strength and spread are employed to extract the recurrent word combinations, i.e. collocations. The Distant BI-Gram Model and collocation are applied to a statistic-based post-processing system for improving the recognition performance of Chinese character. The experimental results show that by employ these two language models, the post-processing system achieves a higher improvement performance.

AB - In this paper, we present a Distant BI-Gram model, which extended the regular BI-Gram model by considering the distance information and weight parameters, in order to describe the long-distance restrictions among the Chinese sentence. The extraction of the statistical information and weight parameters of this language model is discussed. Based on this work, the word combination strength and spread are employed to extract the recurrent word combinations, i.e. collocations. The Distant BI-Gram Model and collocation are applied to a statistic-based post-processing system for improving the recognition performance of Chinese character. The experimental results show that by employ these two language models, the post-processing system achieves a higher improvement performance.

KW - Character recognition

KW - Collocation

KW - Distant BI-Gram

KW - Post-processing

UR - http://www.scopus.com/inward/record.url?scp=0036925882&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 0780375084

VL - 4

SP - 2251

EP - 2255

BT - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

T2 - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

Y2 - 4 November 2002 through 5 November 2002

ER -

Distant BI-Gram model, collocation, and their applications in post-processing for Chinese character recognition

Abstract

Conference

Keywords

ASJC Scopus subject areas

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