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FALL_2022_NLP

This repository contains assignments and slides for IDS703 Natural Language Processing at Duke.

In the NLP_hw directory, there are 8 personal assignments.

  1. Regular Expression
    • Write a regular expression that matches people’s full names
    • Develop a regular expression that matches all gerunds within a text
  2. Spelling Correction
    • Build a spelling corrector based on the Levenshtein distance
  3. N Gram Model
    • Write a bare-bones Markov text generator
  4. POS Tagging
    • Use the first 10k tagged sentences from the Brown corpus to generate the components of a part-of-speech hidden markov model
  5. Document Vectors
    • Explore how term-document matrices and weightings can be used for docu- ment classification, including raw counts of terms, TF-IDF, TF-IDF variant
  6. RNN
    • Construct, manually, a RNN structure and associated weights
  7. BRNN
    • Construct, manually, a bidirectional RNN structure and associated weights
  8. NN Design
    • Design a neural network that segments an English word into prefixes, root, and suffixes using a BIO labelling scheme.

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