The Use of NLP Techniques in CLIR

Authors:
Bärbel Ripplinger
Affiliations:
-
Venue:
CLEF '00 Revised Papers from the Workshop of Cross-Language Evaluation Forum on Cross-Language Information Retrieval and Evaluation
Year:
2000

Citing 4
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Abstract

The application of NLP techniques to improve the results of information retrieval is still considered as a controversial issue, whereas in cross-language information retrieval (CLIR) linguistic processing is already well established. In this paper, the CLIR component - Mpro-IR - which is presented has been developed as the core module of a multilingual information system in a legal domain. This component uses not only the lexical base form for indexing but also derivational information and, for German, information about the decomposition of compounds. This information is provided by a sophisticated morpho-syntactic analyser and is exploited not only for query translation but also for query expansion as well as the search and the document ranking. The objective of the CLEF evaluation was to assess this linguistic based retrieval approach in an unrestricted domain. The focus of the investigation was on how derivation and decomposition can contribute to improve the recall.