Arabic-Hebrew Cross-Language Information Retrieval - Ibrahim, Hossam
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Cross Language Information Retrieval (CLIR), are aims to retrieve information in one language using queries in another language. CLIR requires that either the query or documents be translated from one language to another. In this work, the basic translation approaches of CLIR were experimented, to select the most appropriate technique in terms of ease of use, efficiency and the volume of available sources needed. Also, different methods for CLIR between Arabic and Hebrew have been investigated. An automated system is devised to accept Hebrew queries, translates the queries, and searches an…mehr

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Produktbeschreibung
Cross Language Information Retrieval (CLIR), are aims to retrieve information in one language using queries in another language. CLIR requires that either the query or documents be translated from one language to another. In this work, the basic translation approaches of CLIR were experimented, to select the most appropriate technique in terms of ease of use, efficiency and the volume of available sources needed. Also, different methods for CLIR between Arabic and Hebrew have been investigated. An automated system is devised to accept Hebrew queries, translates the queries, and searches an Arabic document collection to retrieve the most relevant. The system uses dictionary-based approach with English as intermediate language for translating the queries from Hebrew to Arabic. The system was applied in TREC 2002 CLIR standard Arabic Collection Using 50 Hebrew queries (manually translated of Arabic TREC queries). The dictionary used is a constructed bilingual term list includes inflected words, and the translation selection method Top n was applied with synonym operator #wsyn to decrease the ambiguities.
Autorenporträt
Hossam S. Ibrahim Egyptian born in Cairo, Egypt in 1967. Granted the Master degree in computer science and finalizing the PhD degree from Institute of Statistical Studies and Research (ISSR), Cairo University in Egypt. Hossam specialized in Natural Language Processing (NLP) research area.