NLP-Basics

S.no.	Topics Covered	Notebook
1.	Basics, tokenization, n-gram creation, stopwords removal, stemming, lemmatizing, feature-vector creation	Lab 1.0
2.	Introduction to the Indic NLP Library by @anoopkunchukuttan , text normalization, sentence splitting, tokenization, detokenization, script conversion, Romanization, Indicization, word segmentation	Lab 1.1
3.	Creating a basic rule-based PoS tagger for English and Urdu	Lab 2.0
4.	CRF based NER Tagging for English	Lab 3.0
5.	Lesk-based Word Sense Disambiguation	Lab 4.0
6.	Continuing working with words as features, with focus on building language models	Lab 5.0
7.	Word Embeddings with word2vec and other methods	Lab 6.0
8.	Visualizing ELMo Contextual Vectors for Word Sense Disambiguation.	Lab 7.0
9.	Named Entity Recognition using Language Models: DistilBERT	Lab 8.0
10.	Named Entity Recognition using Language Models: XLM-R	Lab 8.1

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README.md		README.md
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nlp-08-02.ipynb		nlp-08-02.ipynb

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