Information Retrieval: Design features of Information Retrieval Systems-Classical, Non-classical, Alternative Models of Information Retrieval – valuation Lexical Resources: World Net-Frame Net- Stemmers-POS Tagger- Research Corpora.Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents–Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
UNIT V INFORMATION RETRIEVAL AND LEXICAL RESOURCES
Machine Translation: Problems in Machine Translation- Characteristics of Indian Languages- Machine Translation Approaches-Translation involving Indian Languages. Natural Language Generation: Architecture of NLG Systems- Generation Tasks and Representations- Application of NLG. UNIT IV NATURAL LANGUAGE GENERATION AND MACHINE TRANSLATION Discourse Processing: cohesion-Reference Resolution- Discourse Coherence and Structure. Semantic Analysis: Meaning Representation-Lexical Semantics- Ambiguity-Word Sense Disambiguation. UNIT III SEMANTIC ANALYSIS AND DISCOURSE PROCESSING Syntactic Analysis: Context-free Grammar-Constituency- Parsing-Probabilistic Parsing. Word Level Analysis: Regular Expressions-Finite-State Automata-Morphological Parsing-Spelling Error Detection and correction-Words and Word classes-Part-of Speech Tagging. UNIT II WORD LEVEL AND SYNTACTIC ANALYSIS Language Modeling: Various Grammar- based Language Models-Statistical Language Model. Overview: Origins and challenges of NLP-Language and Grammar-Processing Indian Languages - NLP Applications-Information Retrieval. > Understand the information retrieval techniques. > Be familiar with the natural language generation. > Learn the techniques in natural language processing. CS6011 NATURAL LANGUAGE PROCESSING SYLLABUS - REGULATION - 2013
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