{"id":55238,"date":"2023-08-28T07:11:51","date_gmt":"2023-08-28T07:11:51","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/al3501-natural-language-processing-syllabus-for-aiml-2021-regulation\/"},"modified":"2023-08-28T07:11:51","modified_gmt":"2023-08-28T07:11:51","slug":"al3501-natural-language-processing-syllabus-for-aiml-2021-regulation","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/al3501-natural-language-processing-syllabus-for-aiml-2021-regulation\/","title":{"rendered":"AL3501: Natural Language Processing syllabus for AI&amp;ML 2021 regulation"},"content":{"rendered":"<p align=\"justify\">Natural Language Processing detailed syllabus for Artificial Intelligence &amp; Machine Learning (AI&amp;ML) for 2021 regulation curriculum has been taken from the <a class=\"rank-math-link\" href=\"https:\/\/cac.annauniv.edu\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Anna University<\/a> official website and presented for the AI&amp;ML students. For course code, course name, number of credits for a course and other scheme related information,  do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For Artificial Intelligence &amp; Machine Learning 5th Sem scheme and its subjects, do visit <a class=\"rank-math-link\" href=\"..\/ai-ml-5th-sem-syllabus-2021-regulation\">AI&amp;ML 5th Sem 2021 regulation scheme<\/a>. The detailed syllabus of natural language processing is as follows. <\/p>\n<p><h4>Course Objectives:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Unit I<\/h4>\n<p>INTRODUCTION<br \/>\nOrigins and challenges of NLP &#8211; Language Modeling: Grammar-based LM, Statistical LM -Regular Expressions, Finite-State Automata &#8211; English Morphology, Transducers for lexicon and rules, Tokenization, Detecting and Correcting Spelling Errors, Minimum Edit Distance\n<\/p>\n<p><h4>Unit II<\/h4>\n<p>WORD LEVEL ANALYSIS<br \/>\nUnsmoothed N-grams, Evaluating N-grams, Smoothing, Interpolation and Backoff &#8211; Word Classes, Part-of-Speech Tagging, Rule-based, Stochastic and Transformation-based tagging, Issues in PoS tagging &#8211; Hidden Markov and Maximum Entropy models.\n<\/p>\n<p><h4>Unit III<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Unit IV<\/h4>\n<p>SEMANTICS AND PRAGMATICS<br \/>\nRequirements for representation, First-Order Logic, Description Logics &#8211; Syntax-Driven Semantic analysis, Semantic attachments &#8211; Word Senses, Relations between Senses, Thematic Roles, selectional restrictions &#8211; Word Sense Disambiguation, WSD using Supervised, Dictionary &amp; Thesaurus, Bootstrapping methods &#8211; Word Similarity using Thesaurus and Distributional methods.\n<\/p>\n<p><h4>Unit V<\/h4>\n<p>DISCOURSE ANALYSIS AND LEXICAL RESOURCES<br \/>\nDiscourse segmentation, Coherence &#8211; Reference Phenomena, Anaphora Resolution using Hobbs and Centering Algorithm &#8211; Coreference Resolution &#8211; Resources: Porter Stemmer, Lemmatizer, Penn Treebank, Brill&#8217;s Tagger, WordNet, PropBank, FrameNet, Brown Corpus, British National Corpus (BNC).\n<\/p>\n<p><h4>Practical Exercises<\/h4>\n<ol>\n<li>Word Analysis<\/li>\n<li>Word Generation<\/li>\n<li>Morphology<\/li>\n<li>N-Grams<\/li>\n<li>N-Grams Smoothing<\/li>\n<li>POS Tagging: Hidden Markov Model<\/li>\n<li>POS Tagging: Viterbi Decoding<\/li>\n<li>Building POS Tagger<\/li>\n<li>Chunking<\/li>\n<li>Building Chunker<\/li>\n<\/ol>\n<p><h4>Course Outcomes:<\/h4>\n<h4 id=\"istudy\" style=\"text-align:center\"><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">Download the iStudy App for all syllabus and other updates.<\/a><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px;text-align:center\"><\/a><\/h4>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>Daniel Jurafsky, James H. Martin\u2014Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech, Pearson Publication, 2014.<\/li>\n<li>Steven Bird, Ewan Klein and Edward Loper, \u2014Natural Language Processing with Python, First Edition, O\u2019Reilly Media, 2009.<\/li>\n<\/ol>\n<p><h4>Reference Books:<\/h4>\n<ol>\n<li>Breck Baldwin, \u2014Language Processing with Java and LingPipe Cookbook, Atlantic Publisher, 2015.<\/li>\n<li>Richard M Reese, \u2014Natural Language Processing with Javall, O\u2019Reilly Media, 2015.<\/li>\n<li>Nitin Indurkhya and Fred J. Damerau, \u2014Handbook of Natural Language Processing, Second Edition, Chapman and Hall\/CRC Press, 2010.<\/li>\n<li>Tanveer Siddiqui, U.S. Tiwary, \u201cNatural Language Processing and Information Retrieval\u201d, Oxford University Press, 2008.<\/li>\n<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all other subjects of Artificial Intelligence &amp; Machine Learning, 2021 regulation curriculum do visit <a class=\"rank-math-link\" href=\"..\/category\/ai-ml+5th-sem\">AI&amp;ML 5th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Artificial Intelligence &amp; Machine Learning results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University AI&amp;ML all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Natural Language Processing detailed syllabus for Artificial Intelligence &amp; Machine Learning (AI&amp;ML) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the AI&amp;ML [&hellip;]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[48,157],"tags":[],"class_list":["post-55238","post","type-post","status-publish","format-standard","hentry","category-5th-sem","category-aiml"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55238","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=55238"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55238\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=55238"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=55238"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=55238"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}