Error correction in a Chinese OCR test collection

Yuen Hsien Tseng

doi:10.1145/564376.564478

Error correction in a Chinese OCR test collection

Yuen Hsien Tseng^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

This article proposes a technique for correcting Chinese OCR errors to support retrieval of scanned documents. The technique uses a completely automatic technique (no manually constructed lexicons or confusion resources) to identify both keywords and confusable terms. Improved retrieval effectiveness on a single term query experiment is demonstrated.

Original language	English
Pages (from-to)	429-430
Number of pages	2
Journal	SIGIR Forum (ACM Special Interest Group on Information Retrieval)
DOIs	https://doi.org/10.1145/564376.564478
Publication status	Published - 2002
Externally published	Yes
Event	Proceedings of the Twenty-Fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - Tampere, Finland Duration: 2002 Aug 11 → 2002 Aug 15

Keywords

Chinese
Confusing pair
Error correction
Term clustering

ASJC Scopus subject areas

Management Information Systems
Hardware and Architecture

Access to Document

10.1145/564376.564478

Cite this

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title = "Error correction in a Chinese OCR test collection",

abstract = "This article proposes a technique for correcting Chinese OCR errors to support retrieval of scanned documents. The technique uses a completely automatic technique (no manually constructed lexicons or confusion resources) to identify both keywords and confusable terms. Improved retrieval effectiveness on a single term query experiment is demonstrated.",

keywords = "Chinese, Confusing pair, Error correction, Term clustering",

author = "Tseng, {Yuen Hsien}",

year = "2002",

doi = "10.1145/564376.564478",

language = "English",

pages = "429--430",

journal = "SIGIR Forum (ACM Special Interest Group on Information Retrieval)",

issn = "0163-5840",

publisher = "Association for Computing Machinery (ACM)",

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AU - Tseng, Yuen Hsien

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AB - This article proposes a technique for correcting Chinese OCR errors to support retrieval of scanned documents. The technique uses a completely automatic technique (no manually constructed lexicons or confusion resources) to identify both keywords and confusable terms. Improved retrieval effectiveness on a single term query experiment is demonstrated.

KW - Chinese

KW - Confusing pair

KW - Error correction

KW - Term clustering

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DO - 10.1145/564376.564478

M3 - Conference article

AN - SCOPUS:0036992592

SN - 0163-5840

SP - 429

EP - 430

JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

T2 - Proceedings of the Twenty-Fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Y2 - 11 August 2002 through 15 August 2002

ER -

Error correction in a Chinese OCR test collection

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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