This is a four-course (12 hour) graduate certificate program in Computational Linguistics. Computational Linguistics (CL) and Natural Language Processing (NLP) – often viewed as one and the same thing – are rapidly growing fields in the high-tech sector, critical for development of such technologies such as voice-enabled smart phones (e.g. Siri, Cortana) and home assistants (e.g. Alexa). IBM’s Jeopardy-winning Watson system is another example of what CL can do. Yet another application area is text analytics for market analysis. This certificate is specifically intended to address a growing need for language processing skills, particularly those associated with the rapid growth of artificial intelligence/cognitive technologies. Systems like Siri or Alexa are built on a pipeline of language processing technologies, ranging from voice and speech recognition to language understanding and automatic question answering. Developing such technologies is a complex process that requires knowledge from both Linguistics and Computer Science.
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Contact Dr. Taraka Kasicheyanula email@example.com for questions about this program.
*Requirements below will first appear in the 2021-22 catalog
For the concentration in Computational Linguistics, the following courses are required:
Core Courses – 15 hours
LING 5070 - Research Design in Linguistics
LING 5075 - Quantitative Research Methods in Linguistics
LING 5300 - Phonology I
LING 5310 - Syntax I
LING 5530 - Semantics and Pragmatics I
Foundation Courses – 12 hours
LING 5405 - Python for Text
LING 5410 - Computational Linguistics I
LING 5412 - NLP in Linguistics
LING 5415 - Computational Linguistics II
Elective Courses – 6 hours
Choose your electives in consultation with your faculty advisor - they'll need to be approved.
Research Seminar – 3 hours
LING 5990 - Professional Development for Linguistics