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Focus at the Syntax-Semantics Interface

Workshop

 
  Focus at the Syntax-Semantics Interface

Workshop on Focus at the Syntax-Semantics Interface

April 6-7, 2008
University of Stuttgart
SFB 732

 

A volume containing the papers that came out of the workshop is now available!

Workshop Description

Our aim for the workshop is that it should address some of the major issues of focus interpretation at the syntax-semantics interface. The following two questions are the key aspects to be discussed:

1) Syntax and focus interpretation
Do different syntactic realizations of focus affect focus interpretation and if so how exactly? Do we need specific focus interpretation machineries for different syntactic realizations of focus such as clefts vs. intonational focus, information focus vs. identificational focus etc. or can the effect of focus be treated in a unified way? If there is something like a focus position, to which focussed elements are systematically moved, what is the compositional semantics of such a position? Do we need specific operators, such as an exhaustivity operator for free focus in some languages?

2) Focus sensitivity
What is focus sensitivity? What forms of focus sensitivity are matters for syntax, for semantics and pragmatics? In particular we wish to discuss new research on discourse accounts of focus sensitivity and explore the implications of such approaches on free focus interpretation in different syntactic positions. We would also like to include into our discussion data from languages with specific focus positions and interpretation mechanisms like Hungarian.

Dealing with these different questions requires both syntactic and semantic expertise and we would like the workshop to promote the discussion and cooperation between syntacticians and semanticists that we think are necessary.

Organized by the projects A1 "Incremental Specification of Focus and Givenness in a Discourse Context" & C2 "Case and Referential Context"

Contact: Edgar Onea (Department of Linguistics) & Arndt Riester (Institute for Natural Language Processing)