Application of parallel processing in natural language processing

Application of parallel processing in natural language processing

Natural 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...

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Bibliographic Details
Main Author: Xu, Peng.
Other Authors: Cai, Wentong
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Online Access:http://hdl.handle.net/10356/20428
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Institution: Nanyang Technological University
Language: English
Description
Summary:Natural 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).

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