| 1 |
Evaluación y descripción del desarrollo del discurso narrativo en español
|
|
|
|
BASE
|
|
Show details
|
|
|
| 2 |
A Hybrid Discourse Analysis of Client-Preferred Identity Co-Construction Within Brief Narrative Single Session Therapy
|
|
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Reformulation and tourisme discourse : linguistic analysis of online travel narratives ; Reformulation et discours touristique : analyse linguistique de récits de voyage en ligne
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-03450188 ; Linguistique. Université Rennes 2, 2021. Français. ⟨NNT : 2021REN20011⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Challenging the Jihadi Narrative: Interviews of French Prisoners Held in Syria
|
|
|
|
In: ISSN: 1930-1189 ; Journal for the Study of Radicalism ; https://hal.archives-ouvertes.fr/hal-03220170 ; Journal for the Study of Radicalism, Michigan State University Press, 2021, 15 (1), pp.137-155 ; https://msupress.org/9781684301447/journal-for-the-study-of-radicalism-15-no-1/ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Narratives of dialogue in parliamentary discourse: Constructing the ethos of the receptive politician
|
|
|
|
In: ISSN: 1569-2159 ; Journal of Language and Politics ; https://hal.archives-ouvertes.fr/hal-02988202 ; Journal of Language and Politics, John Benjamins Publishing, 2021, 20 (4), ⟨10.1075/jlp.20018.tru⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Die «Narrative Recherche» im kommunalen Kontext : eine diskursanalytische Case Study ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Creating a theoretical framework to underpin discourse assessment and intervention in aphasia
|
|
|
|
In: Research outputs 2014 to 2021 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Treatment for improving discourse in aphasia: A systematic review and synthesis of the evidence base
|
|
|
|
In: Research outputs 2014 to 2021 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Ανάλυση αφηγηματικού λόγου στην πολύγλωσση και πολυπολιτισμική τάξη του δημοτικού σχολείου ... : Narrative discourse analysis in the multilingual and multicultural classroom of the primary school ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 10 |
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)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Building Confianza: Empowering Latinos/as Through Transcultural Health Care Communication
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Трансфер юридического знания в нарративное пространство художественного произведения ; Transfer of Legal Knowledge to the Narrative Space of a Work of Fiction
|
|
|
|
BASE
|
|
Show details
|
|
|
| 13 |
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
|
|
BASE
|
|
Show details
|
|
|
| 14 |
ESL learners’ writing as a window onto discourse competence
|
|
|
|
In: Porta Linguarum: revista internacional de didáctica de las lenguas extranjeras, ISSN 1697-7467, Nº. 35, 2021, pags. 277-294 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
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
|
|
BASE
|
|
Hide details
|
|
|
| 16 |
Removing Barriers to Language Sample Analysis: Computer-Automated Microstructure Scoring (CAMS)
|
|
|
|
In: All Graduate Theses and Dissertations (2021)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Grammatical and pragmatic use of referential expressions in picture-based narratives of bilingual and monolingual children in Russian and German ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Law, Language, and Power: English and the Production of Ignorance in International Law ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Χαρακτηριστικά επίδοσης στο γραπτό αφηγηματικό λόγο παιδιών Ε’ και ΣΤ’ δημοτικού σε επικινδυνότητα για Μαθησιακές Δυσκολίες ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 20 |
O ensino da organização lógica da narrativa: uma comparação entre conto de fadas e notícia ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
