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Pragmatic Influences on Argument Word Order in Karuk Narrative Texts
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In: Berkeley Papers in Formal Linguistics, vol 3, iss 1 (2021)
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| 2 |
A logistic regression model for predicting child language performance ; Un modèle de régression logistique pour la prédiction du développement langagier chez l'enfant
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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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| 3 |
STUDENT ACHIEVEMENT INDICATORS AT DEFENSE LANGUAGE INSTITUTE FOREIGN LANGUAGE CENTER
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| 6 |
“You Shall Not Pass”: Predicting Attrition and Completion of an Iraqi Academic Preparatory Program
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In: Faculty Publications in Educational Administration (2021)
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| 7 |
Empirical logit analysis is not logistic regression
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In: Journal of Memory and Language (2020)
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| 8 |
Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models
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In: Big Data and Cognitive Computing ; Volume 4 ; Issue 1 (2020)
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| 9 |
The Incidence of Post-stroke Depression in Adults with Aphasia in an Acute Care Setting
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In: Gerontology Theses (2020)
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| 10 |
Research on the Association between Eye Contact and Social Phobia in Chinese College Students Based on a Binomial Logistic Regression Equation Model
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In: Faculty of Engineering and Information Sciences - Papers: Part B (2020)
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| 11 |
Escritura, oralidad y variación nuevos datos sobre la alternancia allí/allá a la luz de un corpus epistolar del siglo XVI
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| 12 |
Deep Learning for Category-Free Grounded Language Acquisition ...
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| 13 |
Computing Happiness from Textual Data
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In: Stats ; Volume 2 ; Issue 3 ; Pages 25-370 (2019)
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| 14 |
Computing Happiness from Textual Data
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In: 2 ; 3 ; 347 ; 370 (2019)
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| 15 |
Related Text Discovery Through Consecutive Filtering and Supervised Learning
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In: IFIP Advances in Information and Communication Technology ; 2nd International Conference on Intelligence Science (ICIS) ; https://hal.inria.fr/hal-02118810 ; 2nd International Conference on Intelligence Science (ICIS), Nov 2018, Beijing, China. pp.211-220, ⟨10.1007/978-3-030-01313-4_22⟩ (2018)
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| 16 |
Lexical propensities in phonology: corpus and experimental evidence, grammar, and learning
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Zymet, Jesse. - : eScholarship, University of California, 2018
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In: Zymet, Jesse. (2018). Lexical propensities in phonology: corpus and experimental evidence, grammar, and learning. UCLA: Linguistics 0510. Retrieved from: http://www.escholarship.org/uc/item/0rz210sn (2018)
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| 17 |
A Step Toward GDPR Compliance : Processing of Personal Data in Email
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| 18 |
"Leadership in Action: How Top Hackers Behave" A Big-Data Approach with Text-Mining and Sentiment Analysis
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| 19 |
Controversy prediction in Twitter ; Πρόβλεψη αμφιλεγόμενων θεμάτων στο Τwitter
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| 20 |
Diagnosing middle ear pathology in 6-to 9-month-old infants using wideband absorbance: a risk prediction model
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