| Day 1: Foundations of NLP (6th January,2024) | Topic | |
|---|---|---|
| Session 1: Introduction to NLP | Defining NLP and real-world applications |  |
| Evolution and trends in NLP | |
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| Applications, case studies, challenges, and limitations | |
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| Session 2: Fundamentals of Language Analysis | Levels of language analysis: morphology, syntax, semantics, pragmatics | |
| Text representation: Bag-of-words, TF-IDF, word embeddings | |
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| Language modeling: N-grams, RNNs, LSTMs, GRUs | |
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| Day 2: Advanced NLP Techniques(13th January, 2024) | ||
| Session 3: Lexical and Syntactic Processing | Lexical processing techniques: tokenization, normalization | |
| Syntactic processing: parsing with dependency grammar, constituency parsing | |
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| Session 4: Semantic and Pragmatic Processing | Semantic processing: word sense disambiguation, textual entailment | |
| Pragmatic processing: building dialogue systems, analyzing discourse | |
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| Session 5: Applications in Real-world Scenarios | Text representation and embeddings: Word2Vec, GloVe, BERT | |
| Language modeling techniques: Transformers, attention mechanisms | |
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| Text classification, sentiment analysis, machine translation, and text summarization | |
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