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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

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DRPS : Course Catalogue : School of Philosophy, Psychology and Language Sciences : Language Sciences

Undergraduate Course: Computational Phonology (LASC10081)

Course Outline
SchoolSchool of Philosophy, Psychology and Language Sciences CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis course provides a theoretical and practical introduction to the use of computational and statistical methods in the study of sound systems.
Course description This course provides a theoretical and practical introduction to the use of computational methods in phonetics and phonology. We will consider how computational and statistical approaches can help us understand problems such as the acquisition of phonological rules and categories, the induction of phonotactic constraints, and the ways in which sound systems change over time. While the bulk of the course will focus on actually building and assessing computational models, students will also be introduced to some of the primary literature in this area.

The course is aimed both at students from computational backgrounds interested in linguistic problems, and at students of linguistics (such as Speech and Language Processing MScs, or Hons students who enjoyed Phonological Theory) who wish to find out more about how computational methods can be used in phonological analysis. Previous programming experience (in any language) would be an advantage, but is not required.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites It is RECOMMENDED that students have passed Simulating Language (LASC10018) OR Informatics 1 - Object-Oriented Programming (INFR08014)
Students MUST have passed: LEL2B: Phonetic Analysis and Empirical Methods (LASC08018)
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesVisiting students should have at least 3 Linguistics/Language Sciences courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses.
High Demand Course? Yes
Course Delivery Information
Not being delivered
Learning Outcomes
- an overview of the use of computational models in phonological theory
- an ability to read and assess literature in computational phonology and present the results to a peer audience
- an understanding of the fundamentals of probability theory and finite-state methods
- an ability to apply computational methods in (morpho)phonological analysis
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr James Kirby
Tel: (0131 6)50 3952
Email: jkirby1@exseed.ed.ac.uk
Course secretaryMiss Samantha Bell
Tel: (0131 6)50 3602
Email: sam.bell@ed.ac.uk
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