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Quantitative determinants of prefabs...
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Beckner, Clayton.
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Quantitative determinants of prefabs: a corpus-based, experimental study of multiword units in the lexicon.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Quantitative determinants of prefabs: a corpus-based, experimental study of multiword units in the lexicon./
作者:
Beckner, Clayton.
面頁冊數:
216 p.
附註:
Source: Dissertation Abstracts International, Volume: 75-02(E), Section: A.
Contained By:
Dissertation Abstracts International75-02A(E).
標題:
Language, Linguistics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3601133
ISBN:
9781303516993
Quantitative determinants of prefabs: a corpus-based, experimental study of multiword units in the lexicon.
Beckner, Clayton.
Quantitative determinants of prefabs: a corpus-based, experimental study of multiword units in the lexicon.
- 216 p.
Source: Dissertation Abstracts International, Volume: 75-02(E), Section: A.
Thesis (Ph.D.)--The University of New Mexico, 2013.
In recent years many researchers have been rethinking the `Words and Rules' model of syntax (Pinker 1999), instead arguing that language processing relies on a large number of preassembled multiword units, or `prefabs' (Bolinger 1976). A usage-based perspective predicts that linguistic units, including prefabs, arise via repeated use, and prefabs should thus be associated with the frequency with which words co-occur (Langacker 1987). Indeed, in several recent experiments, corpus analysis is found to be associated with behavioral measures for multiword sequences (Kapatsinski and Radicke 2009, Ellis and Simpson-Vlach 2009). This dissertation supplements such findings with two new psycholinguistic investigations of prefabs.
ISBN: 9781303516993Subjects--Topical Terms:
1018079
Language, Linguistics.
Quantitative determinants of prefabs: a corpus-based, experimental study of multiword units in the lexicon.
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Adviser: Jill Morford.
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In recent years many researchers have been rethinking the `Words and Rules' model of syntax (Pinker 1999), instead arguing that language processing relies on a large number of preassembled multiword units, or `prefabs' (Bolinger 1976). A usage-based perspective predicts that linguistic units, including prefabs, arise via repeated use, and prefabs should thus be associated with the frequency with which words co-occur (Langacker 1987). Indeed, in several recent experiments, corpus analysis is found to be associated with behavioral measures for multiword sequences (Kapatsinski and Radicke 2009, Ellis and Simpson-Vlach 2009). This dissertation supplements such findings with two new psycholinguistic investigations of prefabs.
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Study 1 revisits a dictation experiment by Schmitt et al. (2004), in which participants are asked to listen to stretches of speech and repeat the input verbatim, after performing a distractor task intended to encourage reliance on prefabs. I describe the results of an updated experiment which demonstrates that participants are less likely to interrupt or partially alter high-frequency multiword sequences. Although the original study by Schmitt et al. (2004) reported null findings, the revised methodology suggests that frequency indeed plays a role in the creation of prefabs. Study 2 investigates the distribution of affix positioning errors (he go aheads) which give evidence that some multiword sequences (e.g., go ahead ) are retrieved from memory as a unit. As part of this study, I describe a novel methodology which elicits the errors of interest in an experimental setting. Errors evincing holistic retrieval are induced more often among multiword sequences that are high in Mutual Dependency, a corpus measure that weighs a sequence's frequency against the frequencies of its component words. Followup analyses indicate that sequence frequency is positively associated with affix errors, but only if component-word frequencies are included as variables in the model.
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In sum, the studies in this dissertation provide evidence that prefabricated, multiword units are associated with high frequency of a sequence, in addition to statistical measures that take component words' frequency into account. These findings provide further support for a usage-based model of the lexicon, in which linguistic units are both gradient and changeable with experience.
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