TY - GEN
T1 - Does domain size impact speech onset time during reference production?
AU - Gatt, Albert
AU - van Gompel, Roger P.G.
AU - Krahmer, Emiel
AU - van Deemter, Kees
N1 - Funding Information:
This work forms part of the project Bridging the gap between psycholinguistics and computational linguistics: The case of Referring Expressions. Albert Gatt and Emiel Krahmer are supported by a grant from the Netherlands Organization for Scientific Research (NWO). Kees van Deemter is supported by the epsrc Platform Grant Affecting people with Natural Language.
Publisher Copyright:
© CogSci 2012.All rights reserved.
PY - 2012
Y1 - 2012
N2 - In referring to a target referent, speakers need to choose a set of properties that jointly distinguish it from its distractors. Current computational models view this as a search process in which the decision to include a property requires checking how many distractors it excludes. Thus, these models predict that identifying descriptions should take longer to produce the larger the distractor set is, independent of how many properties are required to identify a target. Since every property that is selected is checked, they also predict that distinguishing a target should take longer the more properties are required to distinguish it. This paper tests this prediction empirically, contrasting it with two alternative predictions based on models of visual search. Our results provide support for the predictions of computational models, suggesting a crucial difference between the mechanisms underlying reference production and object identification.
AB - In referring to a target referent, speakers need to choose a set of properties that jointly distinguish it from its distractors. Current computational models view this as a search process in which the decision to include a property requires checking how many distractors it excludes. Thus, these models predict that identifying descriptions should take longer to produce the larger the distractor set is, independent of how many properties are required to identify a target. Since every property that is selected is checked, they also predict that distinguishing a target should take longer the more properties are required to distinguish it. This paper tests this prediction empirically, contrasting it with two alternative predictions based on models of visual search. Our results provide support for the predictions of computational models, suggesting a crucial difference between the mechanisms underlying reference production and object identification.
KW - computational modeling
KW - language production
KW - Referring expressions
KW - visual search
UR - http://www.scopus.com/inward/record.url?scp=84905714387&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84905714387
SN - 9781622763047
T3 - Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012
SP - 1584
EP - 1589
BT - 34th Annual Meeting of the Cognitive Science Society 2012 (CogSci 2012)
A2 - Miyake, Naomi
A2 - Peebles, David
A2 - Cooper, Richard
PB - The Cognitive Science Society
T2 - 34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012
Y2 - 1 August 2012 through 4 August 2012
ER -