Cognitive Processing of Multiword Expressions in Native and Non-native Speakers of English: Evidence from Gaze Data

2.50
Hdl Handle:
http://hdl.handle.net/2436/620825
Title:
Cognitive Processing of Multiword Expressions in Native and Non-native Speakers of English: Evidence from Gaze Data
Authors:
Yaneva, Victoria; Taslimipoor, Shiva; Rohanian, Omid; Ha, Le An
Abstract:
Gaze data has been used to investigate the cognitive processing of certain types of formulaic language such as idioms and binominal phrases, however, very little is known about the online cognitive processing of multiword expressions. In this paper we use gaze features to compare the processing of verb - particle and verb - noun multiword expressions to control phrases of the same part-of-speech pattern. We also compare the gaze data for certain components of these expressions and the control phrases in order to find out whether these components are processed differently from the whole units. We provide results for both native and non-native speakers of English and we analyse the importance of the various gaze features for the purpose of this study. We discuss our findings in light of the E-Z model of reading.
Citation:
Yaneva V., Taslimipoor S., Rohanian O., Ha L.A. (2017) Cognitive Processing of Multiword Expressions in Native and Non-native Speakers of English: Evidence from Gaze Data. In: Mitkov R. (eds) Computational and Corpus-Based Phraseology. EUROPHRAS 2017. Lecture Notes in Computer Science, vol 10596. Springer, Cham
Publisher:
Springer
Journal:
Lecture Notes in Computer Science
Issue Date:
Oct-2017
URI:
http://hdl.handle.net/2436/620825
Additional Links:
https://link.springer.com/chapter/10.1007%2F978-3-319-69805-2_26#citeas
Type:
Article
Language:
en
ISSN:
0302-9743
ISBN:
9783319698052
Appears in Collections:
FOSS

Full metadata record

DC FieldValue Language
dc.contributor.authorYaneva, Victoriaen
dc.contributor.authorTaslimipoor, Shivaen
dc.contributor.authorRohanian, Omiden
dc.contributor.authorHa, Le Anen
dc.date.accessioned2017-11-06T12:19:24Z-
dc.date.available2017-11-06T12:19:24Z-
dc.date.issued2017-10-
dc.identifier.citationYaneva V., Taslimipoor S., Rohanian O., Ha L.A. (2017) Cognitive Processing of Multiword Expressions in Native and Non-native Speakers of English: Evidence from Gaze Data. In: Mitkov R. (eds) Computational and Corpus-Based Phraseology. EUROPHRAS 2017. Lecture Notes in Computer Science, vol 10596. Springer, Chamen
dc.identifier.isbn9783319698052en
dc.identifier.issn0302-9743en
dc.identifier.urihttp://hdl.handle.net/2436/620825-
dc.description.abstractGaze data has been used to investigate the cognitive processing of certain types of formulaic language such as idioms and binominal phrases, however, very little is known about the online cognitive processing of multiword expressions. In this paper we use gaze features to compare the processing of verb - particle and verb - noun multiword expressions to control phrases of the same part-of-speech pattern. We also compare the gaze data for certain components of these expressions and the control phrases in order to find out whether these components are processed differently from the whole units. We provide results for both native and non-native speakers of English and we analyse the importance of the various gaze features for the purpose of this study. We discuss our findings in light of the E-Z model of reading.en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urlhttps://link.springer.com/chapter/10.1007%2F978-3-319-69805-2_26#citeasen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMulti-word expressionsen
dc.subjectgaze dataen
dc.subjecteye trackingen
dc.subjectphraseologyen
dc.subjectcognitive processingen
dc.subjectpsycholinguisticsen
dc.titleCognitive Processing of Multiword Expressions in Native and Non-native Speakers of English: Evidence from Gaze Dataen
dc.typeArticleen
dc.identifier.journalLecture Notes in Computer Scienceen
dc.date.accepted2017-09-
rioxxterms.funderInternalen
rioxxterms.identifier.projectUoW061117VYen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/CC BY-NC-ND 4.0en
rioxxterms.licenseref.startdate2017-11-06en
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