Automatic acquisition of large-scale academic bilingual parallel corpus from the web

Yong Han; Yu Li; Xiaoning He; Muyun Yang; Guohua Lei

doi:10.1109/IALP.2009.75

Automatic acquisition of large-scale academic bilingual parallel corpus from the web

Yong Han^*
, Yu Li
, Xiaoning He
, Muyun Yang
, Guohua Lei

^*Corresponding author for this work

Faculty of Computing

Heilongjiang Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, we describe a system which automatically acquires large-scale Chinese-English bilingual parallel corpus from China Journals Full-text Database (CJFD), a component of China National Knowledge Infrastructure (CNKI). The system gets large amount of parallel texts with domain information from the existing structured bilingual texts in CJFD, such as Chinese and English abstracts and titles of academic articles. The acquired Chinese-English parallel corpus is by several orders of magnitudes larger than similar corpus we have known before. In addition, this system collects a large amount of bilingual terms which can directly apply to lexical acquisition.

Original language	English
Title of host publication	2009 International Conference on Asian Language Processing
Subtitle of host publication	Recent Advances in Asian Language Processing, IALP 2009
Pages	318-321
Number of pages	4
DOIs	https://doi.org/10.1109/IALP.2009.75
State	Published - 2009
Event	2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009 - Singapore, Singapore Duration: 7 Dec 2009 → 9 Dec 2009

Publication series

Name	2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009

Conference

Conference	2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009
Country/Territory	Singapore
City	Singapore
Period	7/12/09 → 9/12/09

Keywords

Bilingual parallel corpora acquision
Bilingual term acquision
Data mining

Access to Document

10.1109/IALP.2009.75

Cite this

Han, Y., Li, Y., He, X., Yang, M., & Lei, G. (2009). Automatic acquisition of large-scale academic bilingual parallel corpus from the web. In 2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009 (pp. 318-321). Article 5380757 (2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009). https://doi.org/10.1109/IALP.2009.75

Han, Yong ; Li, Yu ; He, Xiaoning et al. / Automatic acquisition of large-scale academic bilingual parallel corpus from the web. 2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009. 2009. pp. 318-321 (2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009).

@inproceedings{cab764e942e24dc9afcade7e05b161f6,

title = "Automatic acquisition of large-scale academic bilingual parallel corpus from the web",

abstract = "In this paper, we describe a system which automatically acquires large-scale Chinese-English bilingual parallel corpus from China Journals Full-text Database (CJFD), a component of China National Knowledge Infrastructure (CNKI). The system gets large amount of parallel texts with domain information from the existing structured bilingual texts in CJFD, such as Chinese and English abstracts and titles of academic articles. The acquired Chinese-English parallel corpus is by several orders of magnitudes larger than similar corpus we have known before. In addition, this system collects a large amount of bilingual terms which can directly apply to lexical acquisition.",

keywords = "Bilingual parallel corpora acquision, Bilingual term acquision, Data mining",

author = "Yong Han and Yu Li and Xiaoning He and Muyun Yang and Guohua Lei",

year = "2009",

doi = "10.1109/IALP.2009.75",

language = "英语",

isbn = "9780769539041",

series = "2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009",

pages = "318--321",

booktitle = "2009 International Conference on Asian Language Processing",

note = "2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009 ; Conference date: 07-12-2009 Through 09-12-2009",

}

Han, Y, Li, Y, He, X, Yang, M & Lei, G 2009, Automatic acquisition of large-scale academic bilingual parallel corpus from the web. in 2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009., 5380757, 2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009, pp. 318-321, 2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009, Singapore, Singapore, 7/12/09. https://doi.org/10.1109/IALP.2009.75

Automatic acquisition of large-scale academic bilingual parallel corpus from the web. / Han, Yong; Li, Yu; He, Xiaoning et al.
2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009. 2009. p. 318-321 5380757 (2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automatic acquisition of large-scale academic bilingual parallel corpus from the web

AU - Han, Yong

AU - Li, Yu

AU - He, Xiaoning

AU - Yang, Muyun

AU - Lei, Guohua

PY - 2009

Y1 - 2009

N2 - In this paper, we describe a system which automatically acquires large-scale Chinese-English bilingual parallel corpus from China Journals Full-text Database (CJFD), a component of China National Knowledge Infrastructure (CNKI). The system gets large amount of parallel texts with domain information from the existing structured bilingual texts in CJFD, such as Chinese and English abstracts and titles of academic articles. The acquired Chinese-English parallel corpus is by several orders of magnitudes larger than similar corpus we have known before. In addition, this system collects a large amount of bilingual terms which can directly apply to lexical acquisition.

AB - In this paper, we describe a system which automatically acquires large-scale Chinese-English bilingual parallel corpus from China Journals Full-text Database (CJFD), a component of China National Knowledge Infrastructure (CNKI). The system gets large amount of parallel texts with domain information from the existing structured bilingual texts in CJFD, such as Chinese and English abstracts and titles of academic articles. The acquired Chinese-English parallel corpus is by several orders of magnitudes larger than similar corpus we have known before. In addition, this system collects a large amount of bilingual terms which can directly apply to lexical acquisition.

KW - Bilingual parallel corpora acquision

KW - Bilingual term acquision

KW - Data mining

UR - https://www.scopus.com/pages/publications/77950895466

U2 - 10.1109/IALP.2009.75

DO - 10.1109/IALP.2009.75

M3 - 会议稿件

AN - SCOPUS:77950895466

SN - 9780769539041

T3 - 2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009

SP - 318

EP - 321

BT - 2009 International Conference on Asian Language Processing

T2 - 2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009

Y2 - 7 December 2009 through 9 December 2009

ER -

Han Y, Li Y, He X, Yang M, Lei G. Automatic acquisition of large-scale academic bilingual parallel corpus from the web. In 2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009. 2009. p. 318-321. 5380757. (2009 International Conference on Asian Language Processing: Recent Advances in Asian Language Processing, IALP 2009). doi: 10.1109/IALP.2009.75

Automatic acquisition of large-scale academic bilingual parallel corpus from the web

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