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1
Statistical modelling in L3/Ln acquisition ...
Garcia, Guilherme. - : Open Science Framework, 2022
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2
Translate Wisely! An Evaluation of Close and Adaptive Translation Procedures in an Experiment Involving Questionnaire Translation
In: International journal of sociology ; 51 ; 2 ; 135-162 (2022)
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3
What Constitutes a Local Public Sphere? Building a Monitoring Framework for Comparative Analysis
In: Media and Communication ; 9 ; 3 ; 85-96 ; Spaces, Places, and Geographies of Public Spheres (2022)
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4
Generating Samples of Diasporic Minority Popula­tions: A Chilean Example
In: Target­ing Inter­national Audiences: Current and Future Approaches to Inter­national Broad­casting Research ; 3 ; CIBAR Proceedings ; 138-149 ; Conference of International Broadcasters' Audience Research Services (CIBAR) ; XX (2022)
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5
The Optimism-Pessimism Short Scale-2 (SOP2): a comprehensive validation of the English-language adaptation
In: Measurement Instruments for the Social Sciences ; 4 ; 1-14 (2022)
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6
Nonsequential neural network for simultaneous, consistent classification, and photometric redshifts of OTELO galaxies
de Diego, J. A.; Nadolny, J.; Bongiovanni, Á.. - : EDP Sciences, 2021
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7
La lecture contrôlée et assistée par l’analyse statistique des données textuelles : comment et pourquoi interroger un corpus numérique ?
In: ISSN: 0994-6632 ; Le Français dans le monde. Recherches et applications ; https://hal.archives-ouvertes.fr/hal-03143287 ; Le Français dans le monde. Recherches et applications, CLE International / Français dans le monde, 2021, Langue et pratiques numériques: nouveaux repères, nouvelles littératies en didactique des langues, pp.84-100 (2021)
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8
Warum wir so wenig über die Sprachen in Deutschland wissen: Spracheinstellungen als Erkenntnisbarriere
In: Diskurs Kindheits- und Jugendforschung / Discourse. Journal of Childhood and Adolescence Research ; 16 ; 4 ; 403-419 ; Perspektiven von Kindern und Jugendlichen auf sprachliche Diversität und Sprachbildungsprozesse (2021)
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9
Afterword: Future Directions in Multinational, Multiregional, and Multicultural (3MC) Survey Research
In: The essential role of language in survey research ; 243-256 (2021)
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10
The Visualisation of Polyadic Sustained Shared Thinking Interactions: A Methodological Approach
In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 22 ; 2 (2021)
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11
Jugendforschung inklusiv und digital: Möglichkeiten, Voraussetzungen und Grenzen von Gebärdensprachvideos in digitalen Erhebungen
In: Diskurs Kindheits- und Jugendforschung / Discourse. Journal of Childhood and Adolescence Research ; 14 ; 3 ; 308-322 ; Neue Methoden der Jugendforschung (2021)
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12
Multi-mode question pretesting: Using traditional cognitive interviews and online testing as complementary methods
In: Survey Methods: Insights from the Field ; 1-14 ; Advancements in Online and Mobile Survey Methods (2021)
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13
Der Ausstellungsinterviewrundgang (AIR) als Methode: Experimentelles Forschen mit Objekten am Beispiel der Wahrnehmung von Commons-Logiken
In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 22 ; 1 (2021)
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14
International assessment of low reading proficiency in the adult population: A question of components or lower rungs?
In: International Review of Education ; 66 ; 2-3 ; 267-288 ; Special issue on Literacy and numeracy: Global and comparative perspectives (2021)
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15
Assessing the use of back translation: the shortcomings of back translation as a quality testing method
In: International Journal of Social Research Methodology ; 20 ; 6 ; 573-584 (2021)
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16
Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
In: Politics and Governance ; 8 ; 2 ; 326-339 ; Policy Debates and Discourse Network Analysis (2021)
Abstract: This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora. It introduces the MARDY annotation environment and presents results from an experiment in which the annotation quality of annotators with and without machine learning based annotation support is compared. The design and setting aim to measure and evaluate: a) annotation speed; b) annotation quality; and c) applicability to the use case of discourse network generation. While the results indicate only slight increases in terms of annotation speed, the authors find a moderate boost in annotation quality. Additionally, with the help of manual annotation of the actors and filtering out of the false positives, the machine learning based annotation suggestions allow the authors to fully recover the core network of the discourse as extracted from the articles annotated during the experiment. This is due to the redundancy which is naturally present in the annotated texts. Thus, assuming a research focus not on the complete network but the network core, an AI-based annotation can provide reliable information about discourse networks with much less human intervention than compared to the traditional manual approach.
Keyword: annotation; anthropology; artificial intelligence; automation; Automatisierung; Computer Methods; data capture; Datengewinnung; discourse; Diskurs; Erhebungstechniken und Analysetechniken der Sozialwissenschaften; künstliche Intelligenz; machine learning; Methods and Techniques of Data Collection and Data Analysis; migration discourse; network; Netzwerk; Social sciences; sociology; Sozialwissenschaften; Soziologie; Statistical Methods; text analysis; Textanalyse
URL: https://www.ssoar.info/ssoar/handle/document/71797
https://www.cogitatiopress.com/politicsandgovernance/article/view/2591
https://doi.org/10.17645/pag.v8i2.2591
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17
Examining the role of linguistic context in aspectual competition: a statistical study.
Noseda, Valentina (orcid:0000-0002-5148-1241); Beatrice, Bernasconi. - 2021
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18
Statistics for linguists : an introduction using R
Winter, Bodo. - London : Taylor & Francis, 2020
MPI für Psycholinguistik
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19
Adopting a Meta-Generative Way of Thinking in the Field of Education via the Use of Bayesian Methods: A Multimethod Approach in a Post-Truth and COVID-19 Era
Natesan Batley, P; Boedeker, P; Onwuegbuzie, A. - : Dialectal Publishing LLC, 2020
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20
Galaxy classification: Deep learning on the OTELO and COSMOS databases
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