Greg Kondrak, PhD
Professor, Faculty of Science - Computing Science
Area of Study / Keywords
Computational Linguistics Natural Language Processing Artificial Intelligence Cryptography
- Magister, Computer Science, University of Warsaw, 1990
- M.Sc., Computing Science, University of Alberta, 1994
- Ph.D., Computer Science, University of Toronto, 2002
Computational Linguistics, Natural Language Processing.
I am particularly interested in:
- NLP at the sub-word level: letter-phoneme conversion, transliteration, orthography, morphology, word similarity, drug names
- Cognates: identification, projection, applications, machine translation, bitext alignment, diachronic linguistics
- Lexical Semantics: synonymy, polysemy, homonymy, translational equivalence, word sense disambiguation
- Computational Cryptography: decoding unknown scripts, cipher language identification
Cryptography is the science of secure communications. This course is an introduction to computational methods for encrypting and deciphering messages, with an emphasis on computer implementation. Prerequisites: CMPUT 201 or 275, and CMPUT 272.
This topics course is designed for a one on one individual study course between a student and an instructor. Prerequisites are determined by the instructor in the course outline. See Note (3) above.
This course provides information and resources on teaching and research methods in computing science, and also gives an overview of the research done by faculty in the department. Ethics and professional development are included in this course. Required for all graduate students.