Translation & transform algorithm of query sentence in cross-language information retrieval

Xiao fei Zhang; Ke liang Zhang; He yan Huang

Translation & transform algorithm of query sentence in cross-language information retrieval

Xiao fei Zhang^*, Ke liang Zhang, He yan Huang

^*Corresponding author for this work

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

Abstract

Based on large-scale bilingual corpora and the theories of vector space model and lexical mutual information, this paper explores the application of the traditional monolingual IR technology to converting the translation of query sentence to the computation of the boost value of query keyword translations in the bilingual dictionary, so that the target language query sentence is reconstructed. The experiment finds a 92.8% precision rate in the first 10 retrieved documents and an 88.9% precision rate in the first 100 retrieved documents.

Original language	English
Pages	467-470
Number of pages	4
Publication status	Published - 2006
Externally published	Yes
Event	20th Pacific Asia Conference on Language, Information and Computation, PACLIC 20 - Wuhan, China Duration: 1 Nov 2006 → 3 Nov 2006

Conference

Conference	20th Pacific Asia Conference on Language, Information and Computation, PACLIC 20
Country/Territory	China
City	Wuhan
Period	1/11/06 → 3/11/06

Keywords

Cross-language information retrieval
Query sentence
Translation & transform algorithm

Cite this

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title = "Translation & transform algorithm of query sentence in cross-language information retrieval",

abstract = "Based on large-scale bilingual corpora and the theories of vector space model and lexical mutual information, this paper explores the application of the traditional monolingual IR technology to converting the translation of query sentence to the computation of the boost value of query keyword translations in the bilingual dictionary, so that the target language query sentence is reconstructed. The experiment finds a 92.8% precision rate in the first 10 retrieved documents and an 88.9% precision rate in the first 100 retrieved documents.",

keywords = "Cross-language information retrieval, Query sentence, Translation & transform algorithm",

author = "Zhang, {Xiao fei} and Zhang, {Ke liang} and Huang, {He yan}",

year = "2006",

language = "English",

pages = "467--470",

note = "20th Pacific Asia Conference on Language, Information and Computation, PACLIC 20 ; Conference date: 01-11-2006 Through 03-11-2006",

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TY - CONF

T1 - Translation & transform algorithm of query sentence in cross-language information retrieval

AU - Zhang, Xiao fei

AU - Zhang, Ke liang

AU - Huang, He yan

PY - 2006

Y1 - 2006

N2 - Based on large-scale bilingual corpora and the theories of vector space model and lexical mutual information, this paper explores the application of the traditional monolingual IR technology to converting the translation of query sentence to the computation of the boost value of query keyword translations in the bilingual dictionary, so that the target language query sentence is reconstructed. The experiment finds a 92.8% precision rate in the first 10 retrieved documents and an 88.9% precision rate in the first 100 retrieved documents.

AB - Based on large-scale bilingual corpora and the theories of vector space model and lexical mutual information, this paper explores the application of the traditional monolingual IR technology to converting the translation of query sentence to the computation of the boost value of query keyword translations in the bilingual dictionary, so that the target language query sentence is reconstructed. The experiment finds a 92.8% precision rate in the first 10 retrieved documents and an 88.9% precision rate in the first 100 retrieved documents.

KW - Cross-language information retrieval

KW - Query sentence

KW - Translation & transform algorithm

UR - http://www.scopus.com/inward/record.url?scp=84863712299&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84863712299

SP - 467

EP - 470

T2 - 20th Pacific Asia Conference on Language, Information and Computation, PACLIC 20

Y2 - 1 November 2006 through 3 November 2006

ER -

Translation & transform algorithm of query sentence in cross-language information retrieval

Abstract

Conference

Keywords

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Cite this