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When person meets number: An ERP study on feature processing · An ERP study on feature processing...
Transcript of When person meets number: An ERP study on feature processing · An ERP study on feature processing...
Spanish Ministry of Education and Science (BRAINGLOT, CSD200700012/CONSOLIDERINGENIO 2010), Ministry ofScience and Innovation (FFI201020472), Ministry of Economy and Competitiveness (FFI201231360), Juan de la CiervaFellowship to Zawiszewski (JCI201007692) and a Ramón y Cajal Fellowship to Erdocia (RYC201006520).
When person meets number:An ERP study on feature processing
Adam Zawiszewski, Kepa Erdocia, Mikel Santesteban & Itziar LakaUniversity of the Basque Country, Vitoria-Gasteiz, Spain
Materials and procedureVerb agreement has received significantattention both in linguistics [1] [2] and inpsycholinguistics [3]: (1) Results showthat agreement violations usually elicit alate parietal positivity (P600),sometimes preceded by negativecomponents (LAN or N400). (2) Butlinguistic analysis claims that verbagreement is composed of distinct phifeatures, such as person and number;(3) there is scarce experimentalevidence that phifeatures like personand number are processed distinctly [4][5]. The aim of this study is to exploreagreement featureprocessing in detail;in order to do that we investigatedprocessing of agreement features inBasque, both in subject and in objectagreement configurations.
References[1] Baker, M. (2008). The syntax of agreement and concord. Cambridge: Cambridge University Press.[2] Rezac, M. (2011). Phifeatures and the modular architecture of language. Berlin: Springer.[3] Molinaro, N., Barber, H., Carreiras. (2011). Grammatical processing in reading: ERP findings and future
directions. Cortex 47, 908930.[4] Nevins, A., Dillon, B., Malhotra, S., Phillips, C. (2007). The role of featurenumber and featuretype in
processing Hindi verb agreement violations. Brain Research, 1164, 819.[5] Mancini, M., Molinaro, N., Rizzi, L. and Carreiras, M. (2011). A person is not a number: Discourse involvement
in subject–verb agreement computation. Brain Research, 1410, 64 764.
Acknowledgments
Introduction
Results
Discussion & Conclusions• Participants faster when detecting the
ungrammaticality of violations involvingperson than the control sentences
• More errors judging the ungrammaticality ofnumber violations than violations involvingperson
• Violations involving the person feature (withor without number) elicited larger P600 thanviolations that did not (number violations).
SUBJECTVERB AGREEMENTBASELINE 1. Zuk mutila bakarrik utzi duzu kalean.youS boyO alone left have2SG inthestreet'You left the boy alone in the street"PERSON 2. Zuk mutila bakarrik utzi dut kalean.
youS boyO alone left have1SG inthestreetNUMBER 3. Zuk mutila bakarrik utzi duzue kalean.youS boyO alone left have2PL inthestreetPERSON & 4. Zuk mutila bakarrik utzi dugu kalean.NUMBER youS boyO alone left have1PL inthestreet
• 22 native speakers of Basque• wordbyword display for 350 ms (ISI = 250 ms).• grammaticality judgment task• 400 sentences randomly distributed over 4 blocks
In sum:• Phifeatures such as person
and number are processeddistinctly during morphologicalcomputation. Person is moresalient than number (as [4])
• Different repair processesoccur on the encounter ofdifferent feature violations