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Computational Linguistics, Faculty of Arts

COLX: Computational Linguistics


  1. COLX 521 (1) Corpus Linguistics

    Describe, compare, and apply the main theories used in corpus linguistics, using qualitative and quantitative corpora, to perform diachronic and synchronic analyses. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

  2. COLX 523 (1) Advanced Corpus Linguistics

    Advanced computational techniques in multilingual corpora. Language change and linguistic variation; best practices for data collection, annotation and analysis. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: All of DSCI 511, COLX 521.

  3. COLX 525 (1) Computational Morphology

    Identify and differentiate morphological processes occurring in natural language for implementation in computational linguistics applications. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

  4. COLX 527 (1) Advanced Computational Morphology

    Morphological parsing tools to analyze and understand multiple languages, including majority and low-resource languages, and to demonstrate computational implementation of fragments. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: COLX 525.

  5. COLX 531 (1) Machine Translation

    Machine translation (MT), including an ability to implement lexical translation models, discriminative training models, and syntactic models in MT. Includes noisy channel translation, phrase-based machine translation, and how to evaluate models. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: DSCI 571.

  6. COLX 533 (1) Advanced Machine Translation

    Machine translation (MT) for diverse groups of languages. Tools covered will include syntax decoding, synchronous parsing, large-scale language modelling, system combination, morphology in MT, topics in modelling, example-based MT, mining parallel data, and quality estimation. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: COLX 531.

  7. COLX 535 (1) Parsing for Computational Linguistics

    Methods of natural language parsing: finite state approaches, class-based language models, part-of-speech tagging, NP chunking, shallow parsing, and context free syntactic parsing. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: All of DSCI 511, DSCI 551, COLX 521.

  8. COLX 561 (1) Computational Semantics

    Language processing to analyze lexical semantics. WordNet, FrameNet, and the semantic web, applied to word-sense disambiguation, entailment, question-answering, and knowledge base populations. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: COLX 535.

  9. COLX 563 (1) Advanced Computational Semantics

    Statistical and neural approaches to natural-language meaning in computational semantics. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: COLX 561.

  10. COLX 565 (1) Sentiment Analysis

    Data crawling, annotation, evaluation, and modelling lexical information. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: COLX 563.

  11. COLX 581 (1) Natural Language Processing for Low-Resource Languages

    Computational tools in relation to low-resource and other under-documented and very-low-resource language. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: COLX 535.

  12. COLX 585 (1) Trends in Computational Linguistics

    Techniques for identifying, analyzing, and synthesizing primary sources for the most current research in computational linguistics. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

  13. COLX 595 (6) Capstone Project

    Techniques for identifying, analyzing, and synthesizing primary sources for the most current research in computational linguistics. Restricted to students in the M.D.S. program with Computational Linguistics option. This course is not eligible for Credit/D/Fail grading.

    Prerequisite: 24 credits of DSCI and COLX courses.


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