CFP last date
22 September 2025
Call for Paper
October Edition
IJCA solicits high quality original research papers for the upcoming October edition of the journal. The last date of research paper submission is 22 September 2025

Submit your paper
Know more
Random Articles
Reseach Article

Article:A Method for Cross-Language Retrieval of Chunks using Monolingual and Bilingual Corpora

by Tayebeh Mosavi Miangah, Amin Nezarat
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 10
Year of Publication: 2010
Authors: Tayebeh Mosavi Miangah, Amin Nezarat
10.5120/1518-1902

Tayebeh Mosavi Miangah, Amin Nezarat . Article:A Method for Cross-Language Retrieval of Chunks using Monolingual and Bilingual Corpora. International Journal of Computer Applications. 10, 10 ( November 2010), 20-23. DOI=10.5120/1518-1902

@article{ 10.5120/1518-1902,
author = { Tayebeh Mosavi Miangah, Amin Nezarat },
title = { Article:A Method for Cross-Language Retrieval of Chunks using Monolingual and Bilingual Corpora },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 10 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number10/1518-1902/ },
doi = { 10.5120/1518-1902 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:22.174802+05:30
%A Tayebeh Mosavi Miangah
%A Amin Nezarat
%T Article:A Method for Cross-Language Retrieval of Chunks using Monolingual and Bilingual Corpora
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 10
%P 20-23
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Information retrieval (IR) is a crucial area of natural language processing (NLP) and can be defined as finding documents whose content is relevant to the query need of a user. Cross-language information retrieval (CLIR) refers to a kind of information retrieval in which the language of the query and that of searched document are different.

References
  1. H. Alizade, et al. , “Studying the efficiency of the existing methods in cross-language information retrieval using a machine-readable bilingual dictionary”. Iranian Information and Documentation Centre, Vol. 25, No. 1, pp. 53-70, 2009.
  2. H. H. Chen, “Chinese information extraction Techniques”. Presented at the SSIMIP, Singapore, 2002.
  3. D. Hull, and G. Grefenstette, “Querying Across Languages; A Dictionary –Based Approach to Multilingual Information Retrieval”. In Proceedings of the 19th Annual International ACM Sigir, 49-57. Zurich, Switzerland, 1996.
  4. T. Mosavi Miangah, “Automatic term extraction for cross-language information retrieval using a bilingual parallel corpus”. Proceedings of the 6th International Conference on Informatics and Systems (INFOS2008), PP. 81-84, Cairo, Egypt. 2008.
  5. T. Mosavi Miangah, “Constructing a large-scale English-Persian Parallel Corpus”. META, 54 (1), pp. 181-188, 2009.
  6. C. D. Manning, P. Raghavan, and H. Schütze, “An Introduction to Information Retrieval”, Cambridge University Press, Cambridge, England, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

chunk retrieval cross-language information retrieval linguistic corpora text classification Persian language