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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| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/20428 |
| _version_ | 1826117277731258368 |
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| author | Xu, Peng. |
| author2 | Cai, Wentong |
| author_facet | Cai, Wentong Xu, Peng. |
| author_sort | Xu, Peng. |
| collection | NTU |
| description | 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). |
| first_indexed | 2024-10-01T04:24:41Z |
| format | Thesis |
| id | ntu-10356/20428 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:24:41Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/204282020-09-27T20:15:36Z Application of parallel processing in natural language processing Xu, Peng. Cai, Wentong School of Applied Science DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval 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). Master of Applied Science 2009-12-15T02:58:33Z 2009-12-15T02:58:33Z 1998 1998 Thesis http://hdl.handle.net/10356/20428 en NANYANG TECHNOLOGICAL UNIVERSITY 124 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Xu, Peng. Application of parallel processing in natural language processing |
| title | Application of parallel processing in natural language processing |
| title_full | Application of parallel processing in natural language processing |
| title_fullStr | Application of parallel processing in natural language processing |
| title_full_unstemmed | Application of parallel processing in natural language processing |
| title_short | Application of parallel processing in natural language processing |
| title_sort | application of parallel processing in natural language processing |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval |
| url | http://hdl.handle.net/10356/20428 |
| work_keys_str_mv | AT xupeng applicationofparallelprocessinginnaturallanguageprocessing |