Other Universities Course Materials links

https://www.cse.iitd.ac.in/~mausam/courses/col772/spring2023/

https://cs224d.stanford.edu/lectures/

https://www.cc.gatech.edu/classes/AY2020/cs7650_spring/

https://www.cse.iitb.ac.in/~cs626-449/slides.html

https://www3.cs.stonybrook.edu/~has/CSE354/Slides/

https://uclanlp.github.io/CS269-17/overview

https://courses.cs.washington.edu/courses/csep517/21wi/

https://dijkstra.eecs.umich.edu/eecs498/lectures/

https://www.cs.princeton.edu/courses/archive/spring20/cos598C/

https://www.cs.utexas.edu/~mooney/cs388/

https://web.stanford.edu/~jurafsky/slp3/

https://github.com/amanjeetsahu/Natural-Language-Processing-Specialization/tree/master

https://www.deepmind.com/learning-resources/deep-learning-lecture-series-2020

https://github.com/oxford-cs-deepnlp-2017/lectures

https://www.cs.cornell.edu/courses/cs4740/2022fa/schedule.html

http://introtodeeplearning.com/

https://courses.grainger.illinois.edu/CS447/sp2023/

Books

Jurafsky_2nd_edition.pdf

Jurafsky_3rd_edition.pdf

Joseph Mariani - Language and Speech Processing-Wiley-ISTE (2009).pdf

Uday Kamath, John Liu, James Whitaker - Deep Learning for NLP and Speech Recognition-Springer International Publishing (2019).pdf

Handbook-of-nlp.pdf

Syllabus

B.Tech.CSE-AI-ML-2023-24_111-116.pdf

OLD Question Paper

50319_CSE4049_B2_COE.pdf

CAT-1 & CAT-2 Portions

Course Plan

BCSE419L_SNLP_Course_plan.pdf

Material links

NLP_handout_1.pdf

nlp-book_knm.pdf

sentence_boundary_segmentation_model.pdf

corpora-analysis.pdf

https://schemantra.com/blog/2023/07/28/semantic-roles/

https://vijinimallawaarachchi.com/2017/05/09/porter-stemming-algorithm/

https://iq.opengenus.org/porter-stemmer/

https://www.shiksha.com/online-courses/articles/pos-tagging-in-nlp/

https://www.qualtrics.com/en-au/experience-management/research/topic-modelling/?rid=ip&prevsite=en&newsite=au&geo=IN&geomatch=au

https://medium.com/@rayanimran307/comparing-text-preprocessing-techniques-one-hot-encoding-bag-of-words-tf-idf-and-word2vec-for-5850c0c117f1

https://www.analyticsvidhya.com/blog/2021/06/part-5-step-by-step-guide-to-master-nlp-text-vectorization-approaches/

https://nanonets.com/blog/topic-modeling-with-lsa-plsa-lda-lda2vec/

https://blog.echen.me/2012/01/03/introduction-to-conditional-random-fields/

https://towardsdatascience.com/conditional-random-fields-explained-e5b8256da776

wordembedding-2.pdf

wordembedding-1.pdf

Bayes_classifier.pdf

https://towardsdatascience.com/understanding-encoder-decoder-sequence-to-sequence-model-679e04af4346

https://www.kaggle.com/code/rahulagg/sentiment-analysis-using-rnn

https://towardsdatascience.com/neural-machine-translation-15ecf6b0b

https://www.scaler.com/topics/deep-learning/attention-mechanism-deep-learning/

https://medium.com/analytics-vidhya/question-answering-system-with-bert-ebe1130f8def

https://360digitmg.com/blog/bert-variants-and-their-differences

https://towardsdatascience.com/transformers-141e32e69591

22_select.pdf

https://www.ling.upenn.edu/~beatrice/syntax-textbook/box-thematic.html

https://www.scaler.com/topics/nlp/fine-tuning-bert/

https://www.datacamp.com/tutorial/how-transformers-work

https://huggingface.co/learn/nlp-course/en/chapter1/1

https://speechprocessingbook.aalto.fi/index.html

https://medium.com/@ongzhixuan/frequency-analysis-of-audio-signals-with-fourier-transform-f89ac113a2b4

https://jonathan-hui.medium.com/speech-recognition-gmm-hmm-8bb5eff8b196

https://medium.com/@diego-rios/speech-emotion-recognition-with-convolutional-neural-network-ae5406a1c0f7

https://www.baeldung.com/cs/graph-based-segmentation

https://datascientest.com/en/spectral-clustering-definition-operation-use

Max Flow/Min Cut https://www.youtube.com/watch?v=oHy3ddI9X3o&t=1315s

CNN_ASLPTrans2-14.pdf

https://www.youtube.com/watch?v=wQG-sdtmhVQ

https://www.youtube.com/watch?v=FROJUMk9P3Y&t=92s