Resources

MCQLL Toolkits and software

Here are some of the pieces of software written by MCQLL members:

• PolyglotDB
• The Montréal Forced Aligner
• SpeechCorpusTools
• AutoVOT
• Generalized Chart Parser

Toolkits and software we use

Some of our past projects have extensively used the following toolkits/programs:

• Kaldi
• HTK
• Praat
• AMDTK

Programming languages

Most existing lab projects are written in Python and Julia. Research tasks also often involve basic scripting in Bash and Praat. Lab members also have interest in Scheme, Clojure, and Haskell.

Useful Courses

The following McGill courses have been helpful for past projects, and provide a solid background for computational linguistics more generally:

• Comp 445/Ling 445/Ling 645 - Computational Linguistics
• Ling 330 - Phonetics
• Ling 360 - Introduction to Semantics
• Ling 371 - Syntax 1
• Comp 550 - Natural Language Processing
• Comp 551 - Applied Machine Learning
• Comp 424 - Artificial Intelligence
• Comp 330 - Theory of Computation
• Comp 302 - Programming Languages and Paradigms
• Comp 206 - Introduction to Software Systems

Computational linguistics conferences

• Association for Computational Linguistics
• Interspeech
• International Conference on Computational Linguistics (COLING)
• Conference on Empirical Methods in Natural Language Processing

Lab Resources

• Compute Canada tutorial
  Steps to get set up to fit R models on a cluster