Ambiguity problem in multilingual information retrieval

Mirna Adriani

doi:10.1007/3-540-44645-1_15

Ambiguity problem in multilingual information retrieval

Mirna Adriani

Department of Computer Science

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

4 Citations (Scopus)

Abstract

This report describes the work done for our participation in the multilingual track of the Cross-Language Evaluation Forum (CLEF). We use a dictionary-based approach to translate English queries into German, French and Italian queries. We then apply a term disambiguation technique to select the best translation terms from terms found in the dictionary entries, and a query expansion technique to enhance the queries’ retrieval performance. We show that the word-formation characteristics of different languages affect the effectiveness of statistical techniques in dealing with the ambiguity problem.

Original language	English
Title of host publication	Cross-Language Information Retrieval and Evaluation - Workshop of the Cross-Language Evaluation Forum, CLEF 2000, Revised Papers
Editors	Carol Peters
Publisher	Springer Verlag
Pages	156-165
Number of pages	10
ISBN (Print)	3540424466, 9783540424468
DOIs	https://doi.org/10.1007/3-540-44645-1_15
Publication status	Published - 2001
Event	1st Workshop of the Cross-Language Evaluation Forum, CLEF 2000 - Lisbon, Portugal Duration: 21 Sept 2000 → 22 Sept 2000

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2069
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st Workshop of the Cross-Language Evaluation Forum, CLEF 2000
Country/Territory	Portugal
City	Lisbon
Period	21/09/00 → 22/09/00

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10.1007/3-540-44645-1_15

Cite this

Adriani, M. (2001). Ambiguity problem in multilingual information retrieval. In C. Peters (Ed.), Cross-Language Information Retrieval and Evaluation - Workshop of the Cross-Language Evaluation Forum, CLEF 2000, Revised Papers (pp. 156-165). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2069). Springer Verlag. https://doi.org/10.1007/3-540-44645-1_15

Adriani, Mirna. / Ambiguity problem in multilingual information retrieval. Cross-Language Information Retrieval and Evaluation - Workshop of the Cross-Language Evaluation Forum, CLEF 2000, Revised Papers. editor / Carol Peters. Springer Verlag, 2001. pp. 156-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This report describes the work done for our participation in the multilingual track of the Cross-Language Evaluation Forum (CLEF). We use a dictionary-based approach to translate English queries into German, French and Italian queries. We then apply a term disambiguation technique to select the best translation terms from terms found in the dictionary entries, and a query expansion technique to enhance the queries{\textquoteright} retrieval performance. We show that the word-formation characteristics of different languages affect the effectiveness of statistical techniques in dealing with the ambiguity problem.",

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Adriani, M 2001, Ambiguity problem in multilingual information retrieval. in C Peters (ed.), Cross-Language Information Retrieval and Evaluation - Workshop of the Cross-Language Evaluation Forum, CLEF 2000, Revised Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2069, Springer Verlag, pp. 156-165, 1st Workshop of the Cross-Language Evaluation Forum, CLEF 2000, Lisbon, Portugal, 21/09/00. https://doi.org/10.1007/3-540-44645-1_15

Ambiguity problem in multilingual information retrieval. / Adriani, Mirna.
Cross-Language Information Retrieval and Evaluation - Workshop of the Cross-Language Evaluation Forum, CLEF 2000, Revised Papers. ed. / Carol Peters. Springer Verlag, 2001. p. 156-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2069).

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

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AB - This report describes the work done for our participation in the multilingual track of the Cross-Language Evaluation Forum (CLEF). We use a dictionary-based approach to translate English queries into German, French and Italian queries. We then apply a term disambiguation technique to select the best translation terms from terms found in the dictionary entries, and a query expansion technique to enhance the queries’ retrieval performance. We show that the word-formation characteristics of different languages affect the effectiveness of statistical techniques in dealing with the ambiguity problem.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Adriani M. Ambiguity problem in multilingual information retrieval. In Peters C, editor, Cross-Language Information Retrieval and Evaluation - Workshop of the Cross-Language Evaluation Forum, CLEF 2000, Revised Papers. Springer Verlag. 2001. p. 156-165. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44645-1_15

Ambiguity problem in multilingual information retrieval

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