A repo for materials relating to the tutorial of CS-332 NLP

• Tutorial 1:

  • Introduction
  • Corpus
  • Regular expression
  • Tokenization

• Tutorial 2:

  • Normalization
  • Parsing
  • Morpheme
  • Stemming
  • Lemmatization

• Tutorial 3:

  • What is ML?
  • Types of ML algorithms?
  • Supervised Learning
  • Unsupervised Learning
  • Evaluation measures

• Tutorial 4:

  • Feed forward NN
  • Language modeling

1. Speech and Language Processing. Daniel Jurafsky & James H. Martin. (Edition 2 & 3)
2. Marcinkiewicz, M. A. (1994). Building a large annotated corpus of English: The Penn Treebank. Using Large Corpora, 273.
3. http://su.diva-portal.org/smash/record.jsf?pid=diva2%3A686162&dswid=9114