Modelling Experiencers in Natural Language Semantics

January 12, 2014 - January 16, 2014
Tezpur University

Tezpur University
Tezpur
India

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Speakers:

Brendan Gillon
McGill University
Eric McCready
Aoyama Gakuin University
Carla Umbach
Zentrum für Allgemeine Sprachwissenschaft

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There is a long-standing tradition of using *logical *and, more specifically, *model-theoretic *tools in the analysis of natural languages. Building on this tradition, our workshop aims at addressing one specific issue that has been the topic of discussion lately in the areas of formal semantics, applied logic, computational linguistics, and philosophy. The issue at stake is the notion of *experiencer*, across languages and across linguistic categories. For example, it is commonly assumed that in a sentence like "Deeti's performance astonished Raj", Raj occupies the role of the experiencer. One of the open questions currently under debate is whether this experiencer argument remains present in derived adjectives such as 'astonishing', as in "Deeti's performance was astonishing". Another open question is whether derived adjectives like 'astonishing' belong to the same semantic category as morpho-syntactically simple adjectives like 'nice' or 'great', which are commonly classified under the label of evaluative adjectives and have elicited a heated debate in semantics and in philosophy. Yet another question is the role of experiencers in other linguistic constructions such as, e.g., *evidential markers* (which do not exist in English but do e.g. In Japanese). In addressing these and other questions concerning experiencers, our workshop aims at reaching a better understanding of the nature of argument structure in natural language, which we take to be a key element in understanding the logical patterns that linguistic constructions give rise to, and in modeling the logic of natural language. Our interdisciplinary workshop will provide a platform for a fruitful exchange between those working in foundational areas in logic and those who are interested in the applications of logic to natural languages.

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