A Cross-language Information Retrieval System Based On Linguistic And Statistical Approaches

As the number of non-English documents that are available on the World Wide Web and in corporate repositories increases, the ability to quickly and effectively search and view documents across language boundaries will continue to grow in importance. Cross-language information retrieval techniques a...

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Main Authors: Nasreddine Semmar, Faiza Elkateb-Gara
Format: Article
Language:Arabic
Published: Scientific and Technological Research Center for the Development of the Arabic Language 2013-12-01
Series:Al-Lisaniyyat
Subjects:
Online Access:https://www.crstdla.dz/ojs/index.php/allj/article/view/479
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author Nasreddine Semmar
Faiza Elkateb-Gara
author_facet Nasreddine Semmar
Faiza Elkateb-Gara
author_sort Nasreddine Semmar
collection DOAJ
description As the number of non-English documents that are available on the World Wide Web and in corporate repositories increases, the ability to quickly and effectively search and view documents across language boundaries will continue to grow in importance. Cross-language information retrieval techniques allow searchers access to a wider range of material without requiring specialized knowledge of the content or the languages in the database. We present in this paper a cross-language information retrieval system based on a deep linguistic analysis of documents and queries and a statistical model which assigns a weight to each word in the database according to discriminating power. A comparison tool is used to evaluate all possible intersections between queries and documents and order documents by their relevance.
format Article
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institution Kabale University
issn 1112-4393
2588-2031
language Arabic
publishDate 2013-12-01
publisher Scientific and Technological Research Center for the Development of the Arabic Language
record_format Article
series Al-Lisaniyyat
spelling doaj-art-9816caaca7194e34a6df14a99e89fe9e2025-08-20T03:51:30ZaraScientific and Technological Research Center for the Development of the Arabic LanguageAl-Lisaniyyat1112-43932588-20312013-12-0119210.61850/allj.v19i2.479A Cross-language Information Retrieval System Based On Linguistic And Statistical ApproachesNasreddine Semmar0Faiza Elkateb-Gara1Multilingual Multimedia Knowledge Engineering LaboratoryMultilingual Multimedia Knowledge Engineering Laboratory As the number of non-English documents that are available on the World Wide Web and in corporate repositories increases, the ability to quickly and effectively search and view documents across language boundaries will continue to grow in importance. Cross-language information retrieval techniques allow searchers access to a wider range of material without requiring specialized knowledge of the content or the languages in the database. We present in this paper a cross-language information retrieval system based on a deep linguistic analysis of documents and queries and a statistical model which assigns a weight to each word in the database according to discriminating power. A comparison tool is used to evaluate all possible intersections between queries and documents and order documents by their relevance. https://www.crstdla.dz/ojs/index.php/allj/article/view/479language information retrieval, linguistic analysis, statistical model, bilingual dictionaries
spellingShingle Nasreddine Semmar
Faiza Elkateb-Gara
A Cross-language Information Retrieval System Based On Linguistic And Statistical Approaches
Al-Lisaniyyat
language information retrieval, linguistic analysis, statistical model, bilingual dictionaries
title A Cross-language Information Retrieval System Based On Linguistic And Statistical Approaches
title_full A Cross-language Information Retrieval System Based On Linguistic And Statistical Approaches
title_fullStr A Cross-language Information Retrieval System Based On Linguistic And Statistical Approaches
title_full_unstemmed A Cross-language Information Retrieval System Based On Linguistic And Statistical Approaches
title_short A Cross-language Information Retrieval System Based On Linguistic And Statistical Approaches
title_sort cross language information retrieval system based on linguistic and statistical approaches
topic language information retrieval, linguistic analysis, statistical model, bilingual dictionaries
url https://www.crstdla.dz/ojs/index.php/allj/article/view/479
work_keys_str_mv AT nasreddinesemmar acrosslanguageinformationretrievalsystembasedonlinguisticandstatisticalapproaches
AT faizaelkatebgara acrosslanguageinformationretrievalsystembasedonlinguisticandstatisticalapproaches
AT nasreddinesemmar crosslanguageinformationretrievalsystembasedonlinguisticandstatisticalapproaches
AT faizaelkatebgara crosslanguageinformationretrievalsystembasedonlinguisticandstatisticalapproaches