2022/23 Undergraduate Module Catalogue
LING3030 Syntactic Theory
20 creditsClass Size: 18
Module manager: Zhishuang Chen
Email: N.Z.Chen@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2022/23
Pre-requisites
LING2340 | Syntax |
This module is not approved as a discovery module
Module summary
This module develops advanced analytical skills in generative syntax. Looking at data from English and other languages, we will test predictions made within various modules of the Principles and Parameters framework in order to explore theories of argument structure, thematic relations, case, and movement. We will take a formal approach to grammar that helps us detect universal patterns in the structure of the world’s languages, predict what sentences are or are not well-formed, and account for variation across languages. Students are expected to have completed LING2340 Syntax before enrolling on this module.Objectives
This module aims to:(1) introduce students to an important theoretical framework of generative grammar
(2) provide an overview of key terminology and tools for advanced syntactic analysis
(3) develop analytical skills and hypothesis-testing for English and other languages through assessed coursework
(4) support independent learning through self-study exercises
Learning outcomes
On completion of this module, students should be able to:
(1) understand key terminology and concepts underlying generative grammar and the Principles and Parameters framework for syntactic theory
(2) analyse datasets and constituent structure for English and other languages
(3) employ sound syntactic argumentation and show critical awareness of generative approaches to syntax
(4) read some source literature within the Principles and Parameters framework
Syllabus
Lectures for this module explore topics such as the following:
(1) the design of language and introduction to generative approaches to grammar and the innateness debate
(2) the relationship between syntax and the lexicon
(3) individual modules of Principles and Parameters, including Theta Theory, Case Theory, various types of movement, Binding Theory and non-overt categories
(4) testing predictions made by the framework on data from English and a range of other languages
In weekly tutorials we consolidate the lecture material, do practice exercises and discuss solutions from the homework. Students use a study pack containing module materials and can work through the exercises independently.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Lecture | 10 | 15.00 | 15.00 |
Seminar | 10 | 1.00 | 10.00 |
Private study hours | 175.00 | ||
Total Contact hours | 25.00 | ||
Total hours (100hr per 10 credits) | 200.00 |
Private study
Students are expected to devote 175 hours of private study time to this module, with the following suggested breakdown:- Preparation for seminars: (10x8=) 80 hours
- Background reading: 45 hours
- Preparation for the coursework assignment and exam: 50 hours
Opportunities for Formative Feedback
Monitoring of student progress will take place through written feedback from the coursework assignment (returned before the exam) and through monitoring of contributions during teaching time.Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Assignment | Data set(s) with questions | 50.00 |
Total percentage (Assessment Coursework) | 50.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
Exam type | Exam duration | % of formal assessment |
Online Time-Limited assessment | 48 hr 00 mins | 50.00 |
Total percentage (Assessment Exams) | 50.00 |
This exam may be replaced by an alternative assessment administered online
Reading list
The reading list is available from the Library websiteLast updated: 16/09/2022
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