

Network Layer Services – Packet switching – Performance – IPV4 Addresses – Forwarding of IP Packets - Network Layer Protocols: IP, ICMP v4 – Unicast Routing Algorithms – Protocols – Multicasting Basics – IPV6 Addressing – IPV6 Protocol. Introduction – Link-Layer Addressing – DLC Services – Data-Link Layer Protocols – HDLC – PPP - Media Access Control - Wired LANs: Ethernet - Wireless LANs – Introduction – IEEE 802.11, Bluetooth – Connecting Devices. 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.Networks – Network Types – Protocol Layering – TCP/IP Protocol suite – OSI Model – Physical Layer: Performance – Transmission media – Switching – Circuit-switched Networks – Packet Switching. 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
