Resources

Lecture notes

• Language and Technology (LIN 120)
• Computational Linguistics 1 (LIN 537)
• Computational Linguistics 2 (LIN 637)
• Mathematical Methods (LIN 539)
• Parsing and Processing (LIN 630)
• Skillz hour: Git Training

Recommended readings

Emily M. Bender (2013): Linguistic Fundamentals for Natural Language Processing

Yoav Goldberg (2017): Neural Network Methods in Natural Language Processing

Jeffrey Heinz, Colin de la Higuera, and Menno van Zaanen (2015): Grammatical Inference for Computational Linguistics

Daniel Jurafsky & James H. Martin (2008): Speech and Language Processing

Edward L. Keenan & Lawrence S. Moss (2016): Mathematical Structures in Language

Christopher D. Manning & Hinrich Schütze (2008): Foundations of Statistical Natural Language Processing

Brian Roark and Richard Sproat (2007): Computational Approaches to Morphology and Syntax

Software

• mgproc
  A Python package for modeling human sentence processing with Minimalist grammars

• CompLab VM
  A virtual machine image for doing computational linguistics with Python