Research on bilingual dictionary based sentence alignment for Chinese English parallel corpus

Muyun Yang; Sheng Li; Tiejun Zhao; Yajuan Lu; Zhanyi Liu

Research on bilingual dictionary based sentence alignment for Chinese English parallel corpus

Muyun Yang^*
, Sheng Li
, Tiejun Zhao
, Yajuan Lu
, Zhanyi Liu

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Parallel corpus is of great importance to machine translation, and automatic sentence alignment is the first step towards its processing. This paper puts forward a bilingual dictionary based sentence alignment method for Chinese English parallel corpus, which differs from previous length based algorithm in its knowledge-rich approach. Experimental result shows that this method produces over 93% accuracy with usual English-Chinese dictionaries whose translations cover 31.88%-47.90% of the corpus.

Original language	English
Pages (from-to)	8-11
Number of pages	4
Journal	High Technology Letters
Volume	8
Issue number	1
State	Published - Mar 2002

Keywords

Bilingual dictionary
Parallel corpus
Sentence alignment

Cite this

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title = "Research on bilingual dictionary based sentence alignment for Chinese English parallel corpus",

abstract = "Parallel corpus is of great importance to machine translation, and automatic sentence alignment is the first step towards its processing. This paper puts forward a bilingual dictionary based sentence alignment method for Chinese English parallel corpus, which differs from previous length based algorithm in its knowledge-rich approach. Experimental result shows that this method produces over 93\% accuracy with usual English-Chinese dictionaries whose translations cover 31.88\%-47.90\% of the corpus.",

keywords = "Bilingual dictionary, Parallel corpus, Sentence alignment",

author = "Muyun Yang and Sheng Li and Tiejun Zhao and Yajuan Lu and Zhanyi Liu",

year = "2002",

month = mar,

language = "英语",

volume = "8",

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journal = "High Technology Letters",

issn = "1006-6748",

publisher = "Institute of Scientific and Technical Information of China ",

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TY - JOUR

T1 - Research on bilingual dictionary based sentence alignment for Chinese English parallel corpus

AU - Yang, Muyun

AU - Li, Sheng

AU - Zhao, Tiejun

AU - Lu, Yajuan

AU - Liu, Zhanyi

PY - 2002/3

Y1 - 2002/3

N2 - Parallel corpus is of great importance to machine translation, and automatic sentence alignment is the first step towards its processing. This paper puts forward a bilingual dictionary based sentence alignment method for Chinese English parallel corpus, which differs from previous length based algorithm in its knowledge-rich approach. Experimental result shows that this method produces over 93% accuracy with usual English-Chinese dictionaries whose translations cover 31.88%-47.90% of the corpus.

AB - Parallel corpus is of great importance to machine translation, and automatic sentence alignment is the first step towards its processing. This paper puts forward a bilingual dictionary based sentence alignment method for Chinese English parallel corpus, which differs from previous length based algorithm in its knowledge-rich approach. Experimental result shows that this method produces over 93% accuracy with usual English-Chinese dictionaries whose translations cover 31.88%-47.90% of the corpus.

KW - Bilingual dictionary

KW - Parallel corpus

KW - Sentence alignment

UR - https://www.scopus.com/pages/publications/0036521088

M3 - 文章

AN - SCOPUS:0036521088

SN - 1006-6748

VL - 8

SP - 8

EP - 11

JO - High Technology Letters

JF - High Technology Letters

IS - 1

ER -

Research on bilingual dictionary based sentence alignment for Chinese English parallel corpus

Abstract

Keywords

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