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1
Exploring individual variation in Turkish heritage speakers’ complex linguistic productions: Evidence from discourse markers ...
Blum, Frederic. - : Open Science Framework, 2022
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2
LASSO Regression Modeling on Prediction of Medical Terms among Seafarers’ Health Documents Using Tidy Text Mining
In: Bioengineering; Volume 9; Issue 3; Pages: 124 (2022)
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3
Linguistic Mathematical Relationships Saved or Lost in Translating Texts: Extension of the Statistical Theory of Translation and Its Application to the New Testament
In: Information; Volume 13; Issue 1; Pages: 20 (2022)
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4
Predicting Academic Performance: Analysis of Students’ Mental Health Condition from Social Media Interactions
In: Behavioral Sciences; Volume 12; Issue 4; Pages: 87 (2022)
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5
Regression modeling for linguistic data ...
Sonderegger, Morgan. - : Open Science Framework, 2022
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6
Using Geolocated Text to Quantify Location in Real Estate Appraisal
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7
Cross-Sectional Analysis of Methods of Computing Partial Correlation Coefficients: A Self-Explained Note With R Syntax
In: Cross-Cultural Communication; Vol 18, No 1 (2022): Cross-Cultural Communication; 18-31 ; 1923-6700 ; 1712-8358 (2022)
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8
THE EFFECTS OF L2 PRAGMATIC AUTONOMOUS AND CONTROLLED MOTIVATIONS ON ENGAGEMENT WITH PRAGMATIC ASPECT
In: TEFLIN Journal, Vol 33, Iss 1, Pp 148-172 (2022) (2022)
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9
Tackling Morphological Analogies Using Deep Learning -- Extended Version
In: https://hal.inria.fr/hal-03425776 ; 2021 (2021)
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10
A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩ (2021)
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11
Pragmatic Influences on Argument Word Order in Karuk Narrative Texts
In: Berkeley Papers in Formal Linguistics, vol 3, iss 1 (2021)
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12
A logistic regression model for predicting child language performance ; Un modèle de régression logistique pour la prédiction du développement langagier chez l'enfant
In: SIS 2021, 50th Annuale Conference of the Italian Statistical Society" ; https://hal.archives-ouvertes.fr/hal-03318721 ; SIS 2021, 50th Annuale Conference of the Italian Statistical Society", Jun 2021, Pise, Italy (2021)
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13
Native word order processing is not uniform: An ERP-study of verb-second word order ...
Newman, Aaron. - : Open Science Framework, 2021
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14
A multi-method approach to correlate identification in acoustic data: The case of Media Lengua
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 13 ; 1868-6354 (2021)
Abstract: This study of Media Lengua examines production differences between mid and high vowels in order to identify the major correlates that distinguish these vowel types. The Media Lengua vowel system is unusual in that it incorporates lexical items originating in Spanish’s five-vowel system into a three-vowel system inherited from Quichua, resulting in high degrees of overlap between the front versus back, mid and high vowel pairs /e, i/ and /o, u/ in F1xF2 space. As Media Lengua speakers utilize and differentiate between all five vowels despite the large degree of acoustic overlap between mid and high vowels, this raises the question of what other correlates beyond F1 and F2 might be involved. To address this, our study looks at a range of variables, both acoustic and qualitative, in a multi-method approach using both factor analysis for mixed data and linear mixed effects regression modelling. Each method provides a unique view on the correlates of vowel differentiation in Media Lengua. Taken together, our results indicate that Media Lengua speakers rely on both social and linguistic contextual cues to distinguish mid from high vowels, which overlap in acoustic space (F1 and F2).
Keyword: acoustic phonetics; factor analysis for mixed data; linear mixed effects regression; Media Lengua; mixed languages; mixed methods; phonetics; vowels
URL: https://doi.org/10.5334/labphon.291
https://www.journal-labphon.org/jms/article/view/291
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15
The Orange workflow for observing collocation trends ColTrend 1.0
Kosem, Iztok; Krek, Simon; Čibej, Jaka. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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16
Which data do elementary school teachers use to determine reading difficulties in their students?
In: Journal of learning disabilities 54 (2021) 5, S. 349-364 (2021)
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17
STUDENT ACHIEVEMENT INDICATORS AT DEFENSE LANGUAGE INSTITUTE FOREIGN LANGUAGE CENTER
Brenner, Ian A.. - : Monterey, CA; Naval Postgraduate School, 2021
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18
Misreport Detection ...
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19
Misreport Detection ...
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20
Which data do elementary school teachers use to determine reading difficulties in their students? ...
Schmitterer, Alexandra; Brod, Garvin. - : Hammill Inst. on Disabilites, 2021. : Sage Publ., 2021
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