Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/20428
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dc.contributor.authorXu, Peng.en_US
dc.date.accessioned2009-12-15T02:58:33Z-
dc.date.available2009-12-15T02:58:33Z-
dc.date.copyright1998en_US
dc.date.issued1998-
dc.identifier.urihttp://hdl.handle.net/10356/20428-
dc.description.abstractNatural Language Processing (NLP)is an important research direction, since it addresses the needs of building a next-generation multi-language-processing tool for fast information exchange and acquisition. Machine Translation is an important branch in NLP. However, approaches used in NLP suffer the drawbacks of requiring huge computational resources, both in terms of computation time and memory. Therefore, applying parallelization techniques to NLP would be a valuable attempt in both research fields (that is, parallel processing and natural language processing).en_US
dc.format.extent124 p.-
dc.language.isoen-
dc.rightsNANYANG TECHNOLOGICAL UNIVERSITYen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval-
dc.titleApplication of parallel processing in natural language processingen_US
dc.typeThesisen_US
dc.contributor.supervisorCai, Wentongen_US
dc.contributor.schoolSchool of Applied Scienceen_US
dc.description.degreeMaster of Applied Scienceen_US
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