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Biomedical information retrieval across languages.

Philipp Daumke¹, Kornél Markü, Michael Poprat

¹Department of Medical Informatics, University Hospital Freiburg, Freiburg, Germany. philipp.daumke@klinikum.uni-freiburg.de

Medical Informatics and the Internet in Medicine

|June 2, 2007

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This study introduces a novel dictionary-based method for biomedical cross-language information retrieval (CLIR) using subwords for improved multilingual searching. This approach enhances the efficiency of retrieving biomedical information across different languages.

Area of Science:

Biomedical Informatics
Computational Linguistics
Information Retrieval

Background:

Cross-language information retrieval (CLIR) faces challenges in bridging language barriers for biomedical research.
Existing CLIR methods often struggle with domain-specific terminology and require extensive lexicons.

Purpose of the Study:

To develop and evaluate a new dictionary-based approach for biomedical CLIR.
To address general and domain-specific challenges in current CLIR research.

Main Methods:

A multilingual lexicon was created using manual and automated methods, covering six European languages.
The lexicon utilizes morphologically meaningful word fragments (subwords) to reduce lexical entries.
Subwords and word-n-grams are used for translation, which are then processed by a standard search engine.

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Main Results:

The subword-based approach significantly reduces the number of necessary lexical entries.
The method proves effective for searching biomedical content across multiple languages.
Evaluation on the OHSUMED corpus demonstrates successful cross-language retrieval.

Conclusions:

The proposed dictionary-based CLIR approach offers an effective solution for multilingual biomedical information access.
Utilizing subwords enhances the efficiency and coverage of CLIR systems.
This method facilitates searching the biomedical web in various languages.