6.881 Natural Language Processing, Fall 2004
This course is a graduate level introduction to natural language processing, the primary concern of which is the study of human language from a computational perspective. The class will cover models at the level of syntactic, semantic and discourse processing. The emphasis will be on corpus-based me...
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| Format: | Learning Object |
| Language: | en-US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/36844 |
| _version_ | 1826198599587856384 |
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| author | Barzilay, Regina |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Barzilay, Regina |
| author_sort | Barzilay, Regina |
| collection | MIT |
| description | This course is a graduate level introduction to natural language processing, the primary concern of which is the study of human language from a computational perspective. The class will cover models at the level of syntactic, semantic and discourse processing. The emphasis will be on corpus-based methods and algorithms, such as Hidden Markov Models and probabilistic context free grammars. We will discuss the use of these methods and models in a variety of applications including syntactic parsing, information extraction, statistical machine translation, and summarization. This subject qualifies as an Artificial Intelligence and Applications concentration subject. |
| first_indexed | 2024-09-23T11:07:18Z |
| format | Learning Object |
| id | mit-1721.1/36844 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2025-03-10T09:25:01Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/368442025-02-25T16:40:48Z 6.881 Natural Language Processing, Fall 2004 Natural Language Processing Barzilay, Regina Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science syntactic models semantic models discourse processing models corpus-based methods algorithms Hidden Markov Models probabilistic context free grammars syntactic parsing information extraction statistical machine translation summarization This course is a graduate level introduction to natural language processing, the primary concern of which is the study of human language from a computational perspective. The class will cover models at the level of syntactic, semantic and discourse processing. The emphasis will be on corpus-based methods and algorithms, such as Hidden Markov Models and probabilistic context free grammars. We will discuss the use of these methods and models in a variety of applications including syntactic parsing, information extraction, statistical machine translation, and summarization. This subject qualifies as an Artificial Intelligence and Applications concentration subject. 2004-12 Learning Object 6.881-Fall2004 local: 6.881 local: IMSCP-MD5-711e44b0b0cf70ee8b1ff7e577031dc7 http://hdl.handle.net/1721.1/36844 en-US Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. text/html Fall 2004 |
| spellingShingle | syntactic models semantic models discourse processing models corpus-based methods algorithms Hidden Markov Models probabilistic context free grammars syntactic parsing information extraction statistical machine translation summarization Barzilay, Regina 6.881 Natural Language Processing, Fall 2004 |
| title | 6.881 Natural Language Processing, Fall 2004 |
| title_full | 6.881 Natural Language Processing, Fall 2004 |
| title_fullStr | 6.881 Natural Language Processing, Fall 2004 |
| title_full_unstemmed | 6.881 Natural Language Processing, Fall 2004 |
| title_short | 6.881 Natural Language Processing, Fall 2004 |
| title_sort | 6 881 natural language processing fall 2004 |
| topic | syntactic models semantic models discourse processing models corpus-based methods algorithms Hidden Markov Models probabilistic context free grammars syntactic parsing information extraction statistical machine translation summarization |
| url | http://hdl.handle.net/1721.1/36844 |
| work_keys_str_mv | AT barzilayregina 6881naturallanguageprocessingfall2004 AT barzilayregina naturallanguageprocessing |