Build N-gram Language Models in Python – Shakespeare Text Generator + Autocomplete
Welcome to Section 6 of the most practical NLP course – Language Modeling & N-grams with Python and NLTK!
In this full 1-hour tutorial, you’ll learn how machines understand and generate language using N-gram models — the foundation of modern text prediction, autocomplete, and generative text engines.
🧠 You’ll Learn:
✔️ What is a Language Model in NLP?
✔️ Building Unigrams, Bigrams, Trigrams using NLTK
✔️ Generating custom text (like Shakespeare & Jane Austen!)
✔️ Creating autocomplete-like features from scratch
✔️ Working with token sequences, smoothing, and randomness
🚀 Real-World Projects:
1️⃣ Text Generator – Shakespeare or Austen style text using N-gram chains
2️⃣ Autocomplete Mini Project – Suggest next words based on partial input
Complete NLP with NLTK playlist: • NLP Course with Python & NLTK – Learn by B...
🎓 This is part of a full NLP course. Subscribe @datageekrj for next chapters: Classification, NER, and Deep NLP!
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