MC9287 NATURAL LANGUAGE PROCESSING SYLLABUS | ANNA UNIVERSITY MCA 5TH SEM SYLLABUS REGULATION 2009 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY FIFTH SEMESTER M.C.A. (MASTER OF COMPUTER APPLICATIONS) DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2009 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
MC9287 NATURAL LANGUAGE PROCESSING L T P C
3 0 0 3 UNIT I INTRODUCTION 9
Natural Language Processing – Linguistic Background- Spoken language input and
output Technologies – Written language Input - Mathematical Methods - Statistical
Modeling and Classification Finite State methods Grammar for Natural Language
Processing – Parsing – Semantic and Logic Form – Ambiguity Resolution – Semantic
Interpretation.
UNIT II INFORMATION RETRIEVAL 9
Information Retrieval architecture - Indexing- Storage – Compression Techniques –
Retrieval Approaches – Evaluation - Search engines- commercial search engine
features- comparison- performance measures – Document Processing - NLP based
Information Retrieval – Information Extraction.
UNIT III TEXT MINING 9
Categorization – Extraction based Categorization- Clustering- Hierarchical Clustering-
Document Classification and routing- finding and organizing answers from Text search –
use of categories and clusters for organising retrieval results – Text Categorization and
efficient Summarization using Lexical Chains – Pattern Extraction.
UNIT IV GENERIC ISSUES 9
Multilinguality – Multilingual Information Retrieval and Speech processing - Multimodality
– Text and Images – Modality Integration - Transmission and Storage – Speech coding-
Evaluation of systems – Human Factors and user Acceptability.
[
UNIT V APPLICATIONS 9
Machine Translation – Transfer Metaphor - Interlingua and Statistical Approaches -
Discourse Processing – Dialog and Conversational Agents – Natural Language
Generation – Surface Realization and Discourse Planning.
TOTAL : 45 PERIODS
TEXT BOOKS:
1. Daniel Jurafsky and James H. martin, “ Speech and Language Processing” , 2000.
2. Ron Cole, J.Mariani, et.al “Survey of the State of the Art in Human Language
Technology”, Cambridge University Press, 1997.
3. Michael W. Berry “ Survey of Text Mining: Culstering, Classification and Retrieval”,
Springer Verlag, 2003.
4. Christopher D.Manning and Hinrich Schutze, “ Foundations of Statistical Natural
Language Processing “, MIT Press, 1999.
REFERENCES:
1. James Allen “ Natural Language Understanding “, Benjamin/ Cummings Publishing
Co. 1995.
2. Gerald J. Kowalski and Mark.T. Maybury, “Information Storage and Retrieval
systems”, Kluwer academic Publishers, 2000.
3. Tomek Strzalkowski “ Natural Language Information Retrieval “, Kluwer academic
Publishers, 1999.
4. Christopher D.Manning and Hinrich Schutze, “ Foundations of Statistical Natural
Language Processing “, MIT Press, 1999.
MC9287 NATURAL LANGUAGE PROCESSING L T P C
3 0 0 3 UNIT I INTRODUCTION 9
Natural Language Processing – Linguistic Background- Spoken language input and
output Technologies – Written language Input - Mathematical Methods - Statistical
Modeling and Classification Finite State methods Grammar for Natural Language
Processing – Parsing – Semantic and Logic Form – Ambiguity Resolution – Semantic
Interpretation.
UNIT II INFORMATION RETRIEVAL 9
Information Retrieval architecture - Indexing- Storage – Compression Techniques –
Retrieval Approaches – Evaluation - Search engines- commercial search engine
features- comparison- performance measures – Document Processing - NLP based
Information Retrieval – Information Extraction.
UNIT III TEXT MINING 9
Categorization – Extraction based Categorization- Clustering- Hierarchical Clustering-
Document Classification and routing- finding and organizing answers from Text search –
use of categories and clusters for organising retrieval results – Text Categorization and
efficient Summarization using Lexical Chains – Pattern Extraction.
UNIT IV GENERIC ISSUES 9
Multilinguality – Multilingual Information Retrieval and Speech processing - Multimodality
– Text and Images – Modality Integration - Transmission and Storage – Speech coding-
Evaluation of systems – Human Factors and user Acceptability.
[
UNIT V APPLICATIONS 9
Machine Translation – Transfer Metaphor - Interlingua and Statistical Approaches -
Discourse Processing – Dialog and Conversational Agents – Natural Language
Generation – Surface Realization and Discourse Planning.
TOTAL : 45 PERIODS
TEXT BOOKS:
1. Daniel Jurafsky and James H. martin, “ Speech and Language Processing” , 2000.
2. Ron Cole, J.Mariani, et.al “Survey of the State of the Art in Human Language
Technology”, Cambridge University Press, 1997.
3. Michael W. Berry “ Survey of Text Mining: Culstering, Classification and Retrieval”,
Springer Verlag, 2003.
4. Christopher D.Manning and Hinrich Schutze, “ Foundations of Statistical Natural
Language Processing “, MIT Press, 1999.
REFERENCES:
1. James Allen “ Natural Language Understanding “, Benjamin/ Cummings Publishing
Co. 1995.
2. Gerald J. Kowalski and Mark.T. Maybury, “Information Storage and Retrieval
systems”, Kluwer academic Publishers, 2000.
3. Tomek Strzalkowski “ Natural Language Information Retrieval “, Kluwer academic
Publishers, 1999.
4. Christopher D.Manning and Hinrich Schutze, “ Foundations of Statistical Natural
Language Processing “, MIT Press, 1999.
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