Computational Linguistics
Qualifications
Overview
Studies in Computational Linguistics at UC will give you applied skills in computer modelling language, speech processing, psycholinguistics, and machine learning for use in language technologies.
Computational Linguistics has a wide range of applications in industry – from analysing public opinion on social media platforms, to creating speech-recognition interactions with smart systems, to developing multi-translation tools.
More research and practical knowledge is needed in this field as language becomes increasingly digitised, and human-machine interactions continue to evolve.
- Practical learning in this major will see you using state-of-the-art computer and software labs, human-computer interaction spaces and equipment, and an on-campus speech-language research clinic.
- UC hosts a range of research centres with studies on computational linguistics, such as Te Kāhui Roro Reo | New Zealand Institute of Language, Brain and Behaviour, Hangarau Tangata, Tangata Hangarau | Human Interface Technology Lab NZ (HIT Lab NZ), and Human Computer Interaction and Multimedia Lab (HCI Lab).
- UC is ranked in the top 100 universities in the world for Linguistics (QS World University Rankings by Subject, 2020).
UC offers a major in Computational Linguistics as part of the Bachelor of Data Science.
See also Linguistics.
Computational Linguistics major
The following courses are required throughout the degree:
100-level
200-level
300-level
- LING 310 Linguistic Research and New Zealand English
- LING 315 Natural Language Processing
- COSC 367 Artificial Intelligence
You will also need to choose any 30 points of courses from the following:
This major will prepare you to work on the forefront of new and emerging technologies.
Programming and psycholinguistic knowledge could lead you into intensive research fields, or into technology development in areas such as speech recognition, accessibility tools, text-to-speech, live interpreting, translation, assistive devices, speech/language therapy, social media or web analysis, artificial intelligence, conversational agents, and many other forms of machine learning.
Find out more about what you can do with a degree in Data Science.
Contact us
For study planning help, please contact Professor Peyman Zawar-Reza:
Email peyman.zawar-reza@canterbury.ac.nz
Postal address
Te Rāngai Pūtaiao | College of Science
Te Whare Wānanga o Waitaha | University of Canterbury
Private Bag 4800
Christchurch 8140
New Zealand
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