Issues in Semantics (Masters)
- Course Code:
- Course Not Running 2014/2015
- Unit value:
- Taught in:
- Term 2
Objectives and learning outcomes of the course
This is an advanced course on Semantics. The primary aim is to build the student’s knowledge on some issues discussed in Formal Semantics by looking and understanding the tools used in Discourse Representation Theory (DRT).
We begin by introducing the logical formalisms used in Formal semantics and then move to some more advanced topics such as Noun phrase interpretation, Anaphora, Plurals, Negation and other connectives, Tense and Aspect.
On successful completion of the course you will:
- have developed some understanding of the role of logic and discourse representation as a tool in describing and analysing natural language semantics
- have been introduced to, and reflected upon, a number of key topics in semantics
- have developed critical reading skills and ability to initiate own research
Scope and syllabus
One or more topics of current interest will be discussed in depth. Examples of such topics are quantifier ambiguity, theories of reference, problems concerning pronouns, problems of anaphora, the relation between semantics and pragmatics, verbs of propositional attitudes.
Method of assessment
This course is examined by coursework only. One essay to be submitted day 1, after reading week (50%); one essay to be submitted day 1, of the following term (50%).
- Hans, Kamp and Uwe Reyle (1993) From Discourse to Logic: Introduction to Model Theoretic Semantics of Natural Language, Formal Theory and Discourse Representation Theory, Springer
- Jens Allwood, Lars Andersen and Osten Dahl, 1977. Logic in Linguistics, CUP.
- Ronnie Cann, 1993. Formal Semantics: an Introduction, CUP.
- Ronnie Cann, Ruth Kempson, Eleni Gregoromichelaki, 2009. Semantics: An Introduction to Meaning in Language, CUP.
- Kate Kearns, 2000. Semantics, Macmillan
- Paul Portner, 2005. What is meaning? Fundamentals of formal semantics, Blackwell
- Henriette de Swart, 1998. Introduction to Natural Language Semantics, CSLI.