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1
A Hybrid Discourse Analysis of Client-Preferred Identity Co-Construction Within Brief Narrative Single Session Therapy
Henneberry, Jesse. - : Université d'Ottawa / University of Ottawa, 2022
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2
Reformulation and tourisme discourse : linguistic analysis of online travel narratives ; Reformulation et discours touristique : analyse linguistique de récits de voyage en ligne
Leekancha, Intareeya. - : HAL CCSD, 2021
In: https://tel.archives-ouvertes.fr/tel-03450188 ; Linguistique. Université Rennes 2, 2021. Français. ⟨NNT : 2021REN20011⟩ (2021)
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3
Die «Narrative Recherche» im kommunalen Kontext : eine diskursanalytische Case Study ...
Borghoff, Birgitta. - : ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2021
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4
Ανάλυση αφηγηματικού λόγου στην πολύγλωσση και πολυπολιτισμική τάξη του δημοτικού σχολείου ... : Narrative discourse analysis in the multilingual and multicultural classroom of the primary school ...
Tserkezidou, Georgia. - : Democritus University of Thrace, 2021
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5
Main Concept, Sequencing, and Story Grammar Analyses of Cinderella Narratives in a Large Sample of Persons with Aphasia
In: Speech Pathology and Audiology Faculty Research and Publications (2021)
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6
Building Confianza: Empowering Latinos/as Through Transcultural Health Care Communication
Magaña, Dalia. - : The Ohio State University Press, 2021
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7
L¿ANNESSIONE DELLA CRIMEA ALLA FEDERAZIONE RUSSA NELLE PAROLE DELLA STAMPA. PRATICHE DISCORSIVE E COSTRUZIONE DELL¿IDENTITÀ NAZIONALE
F. Volpi. - : Università degli Studi di Milano, 2021
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8
An Investigation Into the Feasibility of Streamlining Language Sample Analysis Through Computer-Automated Transcription and Scoring
In: All Graduate Theses and Dissertations (2021)
Abstract: The purpose of the study was to investigate the feasibility of streamlining the transcription and scoring portion of language sample analysis (LSA) through computer-automation. LSA is a gold-standard procedure for examining childrens’ language abilities that is underutilized by speech language pathologists due to its time-consuming nature. To decrease the time associated with the process, the accuracy of transcripts produced automatically with Google Cloud Speech and the accuracy of scores generated by a hard-coded scoring function called the Literate Language Use in Narrative Analysis (LLUNA) were evaluated. A collection of narrative transcripts and audio recordings of narrative samples were selected to evaluate the accuracy of these automated systems. Samples were previously elicited from school-age children between the ages of 6;0-11;11 who were either typically developing (TD), at-risk for language-related learning disabilities (AR), or had developmental language disorder (DLD). Transcription error of Google Cloud Speech transcripts was evaluated with a weighted word-error rate (WERw). Score accuracy was evaluated with a quadratic weighted kappa (Kqw). Results indicated an average WERw of 48% across all language sample recordings, with a median WERw of 40%. Several recording characteristics of samples were associated with transcription error including the codec used to recorded the audio sample and the presence of background noise. Transcription error was lower on average for samples collected using a lossless codec, that contained no background noise. Scoring accuracy of LLUNA was high across all six measures of literate language when generated from traditionally produced transcripts, regardless of age or language ability (TD, DLD, AR). Adverbs were most variable in their score accuracy. Scoring accuracy dropped when LLUNA generated scores from transcripts produced by Google Cloud Speech, however, LLUNA was more likely to generate accurate scores when transcripts had low to moderate levels of transcription error. This work provides additional support for the use of automated transcription under the right recording conditions and automated scoring of literate language indices. It also provides preliminary support for streamlining the entire LSA process by automating both transcription and scoring, when high quality recordings of language samples are utilized.
Keyword: automatic speech recognition; language sample analysis; narrative discourse; school-age language; Special Education and Teaching; text analysis
URL: https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=9522&context=etd
https://digitalcommons.usu.edu/etd/8366
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9
Removing Barriers to Language Sample Analysis: Computer-Automated Microstructure Scoring (CAMS)
In: All Graduate Theses and Dissertations (2021)
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10
ATTITUDINAL/STANCE LEXICAL BUNDLES IN SECONDARY SCHOOL STUDENTS' NARRATIVES: A COMPARATIVE ANALYSIS OF NATIVE AND NON-NATIVE SPEAKERS' WRITTEN REGISTER ...
ALIPASA, CLARK DOMINIC L.. - : Zenodo, 2020
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11
ATTITUDINAL/STANCE LEXICAL BUNDLES IN SECONDARY SCHOOL STUDENTS' NARRATIVES: A COMPARATIVE ANALYSIS OF NATIVE AND NON-NATIVE SPEAKERS' WRITTEN REGISTER ...
ALIPASA, CLARK DOMINIC L.. - : Zenodo, 2020
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12
Constructing Autism Inside and Outside the Clinic: Exploring Relationships Between Psychoanalytic Psychotherapists' and Activists' Discourses
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13
Identity construction and perception of violence by female residents of a domestic violence shelter
Reinboldt, Rosicler Saloan. - : University of Stirling, 2020
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14
“HOME IS MORE THAN JUST A PLACE”: ORAL PERSONAL NARRATIVE STORYTELLING IN CENTRAL APPALACHIA
In: Theses and Dissertations--Linguistics (2020)
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15
The Vernacularisation of Modern Neurosciences: A Case Study of Neuro-Autobiographies in The Age of Complexity
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16
Between Critical Discourse Analysis and Narrative Analysis: Gender and Social Inequalites ; Entre a Análise Crítica do Discurso e a Análise da Narrativa: gênero e desigualdades sociais
In: Cadernos de Linguagem e Sociedade; v. 21 n. 2 (2020): Dossiê Perspectivas Queer nos Estudos da Linguagem e Fluxo contínuo; 181-202 ; 2179-4790 ; 0104-9712 ; 10.26512/les.v21i2 (2020)
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17
Breaking the frames : populism and prestige in comics studies
Singer, Marc. - Austin : University of Texas Press, 2019
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UB Frankfurt Linguistik
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18
Ideological Shifts in Newspaper Translations in the Arab Gulf Region
In: http://rave.ohiolink.edu/etdc/view?acc_num=kent1564503071229478 (2019)
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19
Sequence and salience in Namia discourse
Tupper, Ian. - 2019
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20
Participant Reference in the Mussau-Emira narrative
Brownie, Marjo. - 2019
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