Papers by Mohammed Mustafa Ali
pubs.cs.uct.ac.za
Abstract: Most currently available test collections and almost all CLIR collections have focused ... more Abstract: Most currently available test collections and almost all CLIR collections have focused upon general-domain news stories. In addition, most of these corpora are built to help with retrieval of documents based on monolingual queries, even if they are translated ...
Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment, 2011
Non-English-speaking users, such as Arabic speakers, are not always able to express terminology i... more Non-English-speaking users, such as Arabic speakers, are not always able to express terminology in their native languages, especially in scientific domains. Such difficulty forces many Arabic authors and scholars to use English terms in order to explain precise concepts, particularly when they address technical topics, resulting in mixed/multilingual queries with both English and Arabic terms. Cross Language Information Retrieval (CLIR) allows users to search documents that are written in a language different from the query. However, current algorithms are optimized for monolingual queries, even if they are translated. This paper attempts to address the problem of multilingual querying in CLIR. New techniques that are better suited to the unique characteristics of this problem, in terms of indexing and weighting, are proposed. A new multilingual and mixed test collection containing mixed-language (Arabic and English) computer science documents and mixed-language queries has been created. Experimentally, results show that current CLIR techniques were not designed for these types of multilingual queries and documents and are found to perform poorly whereas the proposed techniques are found to be promising.
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Papers by Mohammed Mustafa Ali