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1
Advancing The Ability To Predict Cognitive Decline and Alzheimer’s Disease Based On Genetic Variants Beyond Amyloid-beta and Tau
In: Master's Projects (2021)
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2
Predicting Scalar Inferences From "Or" to "Not Both" Using Neural Sentence Encoders
In: Proceedings of the Society for Computation in Linguistics (2021)
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3
Early reading correlates in language impairment (Newbury et al., 2020)
Jayne Newbury (8958647); Laura M. Justice (5058230); Hui H. Jiang (8958649). - 2020
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4
How linguistic structure influences and helps to predict metaphoric meaning
Dunn J. - : Walter de Gruyter GmbH, 2019
Abstract: This paper argues that two properties of the linguistic structure of an utterance influence and partially determine whether the utterance has a metaphoric meaning that results in a stable interpretation: (i) degree of metaphoricity and (ii) degree of metaphoric saturation. A majority of metaphoric utterances in a corpus study (66%) were unsaturated, low metaphoricity utterances that behave as expected by Max Black and the cognitive linguistics paradigm. However, a significant minority (34%) of the metaphoric utterances were saturated or high metaphoricity utterances that behave partially as expected by Donald Davidson and others working in his tradition. This suggests that the direct and indirect interpretation views of metaphor are not incompatible but apply to different sub-groups of metaphoric utterances. The paper then constructs a model of metaphoric meaning that makes falsifiable predictions about the interpretations of metaphoric utterances in order to provide further evidence that unsaturated, low metaphoricity utterances have stable interpretations. This research provides both converging evidence for the cognitive linguistic view of metaphor and also a framework for limiting its scope to most, but not all, metaphoric utterances.
Keyword: behavior of lexicalized meaning during forced metaphorization; Communication and Culture::2004 - Linguistics::200402 - Computational Linguistics; communication and culture::4703 - Language studies::470304 - Comparative language studies; communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology; existence of metaphoric meaning; Field of Research::20 - Language; Fields of Research::47 - Language; linguistic properties of metaphoric utterances; morphology and syntax); predicting interpretations of metaphoric utterances
URL: http://hdl.handle.net/10092/17134
https://doi.org/10.1515/cog-2013-0002
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5
Predicting literature's early impact with sentiment analysis in Twitter
In: 192 (2019)
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6
Reality Monitoring and Feedback Control of Speech Production Are Related Through Self-Agency.
Subramaniam, Karuna; Kothare, Hardik; Mizuiri, Danielle. - : eScholarship, University of California, 2018
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7
Can We Predict Reproducible Scholarly Research?
McDade, Joseph C., 1986--. - : Northern Illinois University, 2018
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8
Towards predicting dialog acts from previous speakers' non-verbal cues ; BIBTEX 2017
Harte, Naomi. - 2017
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9
РАЗВИТИЕ У КИТАЙСКИХ СТУДЕНТОВ ВЕРБАЛЬНОГО ВЕРОЯТНОСТНОГО ПРОГНОЗИРОВАНИЯ В ОБУЧЕНИИ РКИ
ЯНЧЕНКО ВЛАДИСЛАВ ДМИТРИЕВИЧ; ЛЮ ЦЯНЬ. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Поволжская государственная социально-гуманитарная академия», 2015
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10
An investigation of the role of parental request for self-correction of stuttering in the Lidcombe Program
Donaghy, Michelle; Harrison, Elisabeth; O'Brian, Sue. - : Taylor & Francis, 2015
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11
Integrating literacy and engineering instruction for young learners
In: Teacher Education and Leadership Faculty Publications (2015)
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12
Comparative Stylistic Fanfiction Analysis: Popular and Unpopular Fics across Eleven Fandoms
In: FIMS Publications (2013)
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13
Reading Development and Dyslexia
In: Symplectic Elements at Oxford ; Scopus (http://www.scopus.com/home.url) (2010)
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14
An international validation study of the EORTC brain cancer module (EORTC QLQ-BN20) for assessing health-related quality of life and symptoms in brain cancer patients.
In: European Journal of Cancer, vol. 46, no. 6, pp. 1033-1040 (2010)
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15
Mining Face-to-Face . . . PRODUCTIVITY IN AN IT CONFIGURATION TASK
In: http://ebusiness.mit.edu/research/papers/2008.05_Wu_Waber_Aral_Brynjolfsson_Pentland_Mining Face-to-Face Interaction_288.pdf (2008)
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16
Mining Face-to-Face Interaction . . . PRODUCTIVITY IN AN IT CONFIGURATION TASK
In: http://vismod.media.mit.edu//tech-reports/TR-622.pdf (2008)
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17
Multi-Mode and Evolutionary Networks
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18
An investigation of language and phonological development and the responsiveness of preschool age children to the Lidcombe Program
Rousseau, I.; Packman, A.; Onslow, M.. - : Elsevier Science Ltd., 2007
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19
Guidelines for statistical analysis of percentage of syllables stuttered data
Jones, Mark; Onslow, Mark; Packman, Ann. - : American Speech-Language-Hearing Association, 2006
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20
ImpelERO: Modelo híbrido sistema-experto/ red-neuronal para evaluar la erosión en suelos agrícolas. Apéndices
Rosa, Diego de la. - : CSIC - Centro de Edafología y Biología Aplicada del Cuarto (CEBAC), 2004. : CSIC - Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), 2004
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