Abstract
The chapter uses electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) evidence to explore neural bases of telicity/atelicity computation. We focus on understanding how general language processing resources (e.g., working memory), as well as language-specific ones contribute to online computation of event structure from its distinctive features in spoken (English) and sign languages (e.g., American Sign Language, Croatian Sign Language).
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Notes
- 1.
In a word maze task, the first word of the sentence is followed by a choice of two words, only one of which can be a grammatically correct continuation of the sentence. Once the participants choose the word that can correctly continue the sentence, the choice of two words for the next one is presented, and so on, until the sentence is completed. This task helps measure the typical expectancy of the word given prior context.
- 2.
Not all unaccusative verbs are obviously telic, however: gradient verbs such as melt, cool, warm can denote incomplete events—e.g., “melt somewhat, but not completely.”
- 3.
All stimuli sentences were completely grammatical, so re-analysis effects typically seen for ungrammatical or semantically incorrect sentences, such as P600 or N400, could not be expected.
- 4.
There is still a bit of a controversy regarding whether telicity of the predicate, or affectedness (or quantization) of the object argument is the relevant feature of the predicate that contributes to telicity computation. Ramchand’s (2008) model encompasses both affectedness of the object and telicity in a cohesive structure, without suggesting that they are the same thing. In fact, as Ramchand (2008) notes, it is possible to have an affected quantized object in an atelic sentence (he pushed the cart around for hours), and non-quantized object in a telic predicate (they found gold in only 3 years). Importantly, telicity and object quantization tend to correlate in Germanic languages (cf. Ritter & Rosen 1998), but not in Slavic ones (cf. Malaia 2004).
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Acknowledgments
This work was partially supported by National Science Foundation Grant 0345314 to RBW, NIH DC00524 grant to RBW, NIH EB003990 grant to TMT, and Research Enhancement Program grant from the University of Texas at Arlington to EM.
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Malaia, E., Gonzalez-Castillo, J., Weber-Fox, C., Talavage, T., Wilbur, R. (2015). Neural Processing of Verbal Event Structure: Temporal and Functional Dissociation Between Telic and Atelic Verbs. In: de Almeida, R., Manouilidou, C. (eds) Cognitive Science Perspectives on Verb Representation and Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-10112-5_6
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