Natural Language Processing (Nlp) detailed syllabus scheme for Computer Engineering (CE), 2017-18 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 7th Sem Scheme of Computer Engineering (CE), 2017-18 Onwards, do visit CE 7th Sem Scheme, 2017-18 Onwards. For the Elective-X scheme of 7th Sem 2017-18 onwards, refer to CE 7th Sem Elective-X Scheme 2017-18 Onwards. The detail syllabus for natural language processing (nlp) is as follows.
Natural Language Processing (Nlp) Syllabus for Computer Engineering (CE) 4th Year 7th Sem 2017-18 DBATU
Course Objectives and Outcomes:
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Unit I
Introduction, Machine Learning and NLP, ArgMax Computation, WSD: WordNet, Wordnet; Application in Query Expansion, Wiktionary; Semantic relatedness, Measures of WordNet Similarity, Similarity Measures, Resnick’s work on WordNet Similarity, Parsing Algorithms, Evidence for Deeper Structure.
Unit II
Top Down Parsing Algorithms, Noun Structure; Top Down Parsing Algorithms, Non-noun Structure and Parsing Algorithms, Probabilistic parsing; sequence labeling, PCFG, Training issues; Arguments and Adjuncts, Probabilistic parsing; inside-outside probabilities, Speech: Phonetics, HMM, Morphology, Graphical Models for Sequence Labeling in NLP, Phonetics, Consonants (place and manner of articulation) and Vowels, Forward Backward probability.
Unit III
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier..
Text Books:
- T. Siddiqui and U.S. Tiwary, Natural Language Processing and Information Retrieval, Oxford University Press, 2008.
- Steven Bird, Ewan Klein, Edward Loper, Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit, O’Reilly Media.
Reference Book:
- James Allen, “Natural Language Understanding”, Second Edition, Benjamin/Cumming, 1995.
- Charniack, Eugene, “Statistical Language Learning”, MIT Press, 1993.
- D. Jurafsky, and J. H. Martin, Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics, Prentice-Hall, 2000.
- Manning, Christopher and Heinrich, Schutze, “Foundations of Statistical Natural Language Processing”, MIT Press, 1999.
For detail syllabus of all subjects of Computer Engineering (CE) 7th Sem 2017-18 onwards, visit CE 7th Sem Subjects of 2017-18 Onwards.