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Graduate Program in Linguistics at the City University of New York

Computational Linguistics

Psychocomputational models of human language and language acquisition.  Research draws from psycholinguistics, machine learning, syntactic theory and computational learning theory. Please contact William Sakas for additional questions and concerns about these requirements.

Optimum time line

  • Year 1 (Fall)
       LING70100: Introduction to Theoretical Ling. (3)
       LING73700: Introduction to Theoretical Ling. Practicum (1)
       LING71200: Syntax I (3)
       LING73700: Syntax I Practicum (1)
       * LING78100: Methods in Computational Linguistics I (3)
       LINGxxxxx: Methods in Computational Linguistics Practicum (1)

  • Year 1 (Spring)
       One of the following pairs:
           LING71300: Phonology I (3) + LING73700: Phonology I Practicum (1)
           LING72399: Semantics I (3) + LING73700: Semantics I Practicum (1)
       *LING83800: Methods in Computational Linguistics II (3)
       LING83600: Language Technology: Speech and Language Processing (3)

  • Year 2 (Fall)
       LING78000: Corpus Analysis (3)
       Elective (3)

  • Year 2 (Spring)
       Elective (3)
       Supervised Research (3)
* Students with a strong computational background can replace these two courses with courses taken from the Electives list.