Lesson 40 - Module 13 Natural Language Processing Version 1...

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Module 13 Natural Language Processing Version 1 CSE IIT, Kharagpur
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13.1 Instructional Objective The students should understand the necessity of natural language processing in building an intelligent system Students should understand the difference between natural and formal language and the difficulty in processing the former Students should understand the ambiguities that arise in natural language processing Students should understand the language information required like like o Phonology o Morphology o Syntax o Semantic o Discourse o World knowledge Students should understand the steps involved in natural language understanding and generation The student should be familiar with basic language processing operations like o Morphological analysis o Parts-of-Speech tagging o Lexical processing o Semantic processing o Knowledge representation At the end of this lesson the student should be able to do the following: Design the processing steps required for a NLP task Implement the processing techniques. Version 1 CSE IIT, Kharagpur
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Lesson 40 Issues in NLP Version 1 CSE IIT, Kharagpur
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13.1 Natural Language Processing Natural Language Processing (NLP) is the process of computer analysis of input provided in a human language (natural language), and conversion of this input into a useful form of representation. The field of NLP is primarily concerned with getting computers to perform useful and interesting tasks with human languages. The field of NLP is secondarily concerned with helping us come to a better understanding of human language. The input/output of a NLP system can be: written text speech We will mostly concerned with written text (not speech). To process written text, we need:
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This note was uploaded on 09/20/2010 for the course MCA DEPART 501 taught by Professor Hemant during the Fall '10 term at Institute of Computer Technology College.

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Lesson 40 - Module 13 Natural Language Processing Version 1...

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