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witten-bell

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Course Materials (along with assignments) for Intro to NLP, done as a part for requirement of the course "Introduction to NLP" (course-code: CS7.401.S22) @ IIITH. Note: If you are cloning this or taking help of this repo, try to star the repo.

  • UpdatedJan 2, 2023
  • Jupyter Notebook

This repository implements N-gram language modeling with Kneser-Kney and Witten Bell smoothing techniques, including an in-house tokenizer. It also features a neural model with LSTM architecture and calculates perplexities for comparing language and neural models.

  • UpdatedJun 25, 2023
  • Python

Python implementation of 4-gram language models that use Witten-Bell, Kneser-Ney Smoothing

  • UpdatedMar 7, 2023
  • Jupyter Notebook

Kneyser Ney and Witten Bell Language Models

  • UpdatedApr 15, 2022

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