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1
Implicit Instruction of Direct and Indirect Object Pronouns in Spanish through Technology-Mediated Task-Based Language Teaching
Lopez Vera, Alexandra. - : eScholarship, University of California, 2022
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2
Telemedicine implementation and use in community health centers during COVID-19: Clinic personnel and patient perspectives.
Payán, Denise D; Frehn, Jennifer L; Garcia, Lorena. - : eScholarship, University of California, 2022
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3
From Disrupted Classrooms to Human-Machine Collaboration? The Pocket Calculator, Google Translate, and the Future of Language Education
In: L2 Journal, vol 14, iss 1 (2022)
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4
Lessons from a distanced stage: embedding a Zoom-mediated drama workshop in a language classroom
In: L2 Journal, vol 14, iss 3 (2022)
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5
Potential of automatic speech processing technologies for early detection of oral language disorders: a meta-analytic review ...
Bonnet, Camille. - : Open Science Framework, 2022
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6
Face-to-face and telepractice assessments (Castilla-Earls et al., 2022) ...
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7
Face-to-face and telepractice assessments (Castilla-Earls et al., 2022) ...
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8
Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: The RELEASE database of aphasia after stroke
In: Research outputs 2014 to 2021 (2022)
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9
ИННОВАЦИОННЫЕ МЕТОДЫ ПРЕПОДАВАНИЯ ЯЗЫКОЗНАНИЯ В ГРУППАХ С РУССКИМ ЯЗЫКОМ ОБУЧЕНИЯ ... : INNOVATIVE METHODS OF TEACHING LANGUAGE IN RUSSIAN LANGUAGE TEACHING GROUPS ...
Носирова, Мубина Олимовна. - : Oriental renaissance: Innovative, educational, natural and social sciences, 2022
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10
Digital Approaches to Analyzing and Translating Emotion: What Is Love? ...
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11
Digital Approaches to Analyzing and Translating Emotion: What Is Love? ...
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12
The Terms of “You(s)”: How the Term of Address Used by Conversational Agents Influences User Evaluations in French and German Linguaculture ...
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13
STYLISTIC PROBLEMS OF TRANSLATING RAILWAY TERMS FROM ENGLISH INTO UZBEK ...
Kurbanova, Ilmira Sharifovna. - : Academic research in educational sciences, 2022
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14
Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners
Swerts, Marc; Blomsma, Peter; Skantze, Gabriel. - : KTH, Tal, musik och hörsel, TMH, 2022. : Tilburg University, 2022. : Frontiers Media SA, 2022
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15
Found speech and humans in the loop : Ways to gain insight into large quantities of speech
Fallgren, Per. - : KTH, Tal-kommunikation, 2022
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16
Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
Abstract: The large majority of previous work on human-robot conversations in a second language has been performed with a human wizard-of-Oz. The reasons are that automatic speech recognition of non-native conversational speech is considered to be unreliable and that the dialogue management task of selecting robot utterances that are adequate at a given turn is complex in social conversations. This study therefore investigates if robot-led conversation practice in a second language with pairs of adult learners could potentially be managed by an autonomous robot. We first investigate how correct and understandable transcriptions of second language learner utterances are when made by a state-of-the-art speech recogniser. We find both a relatively high word error rate (41%) and that a substantial share (42%) of the utterances are judged to be incomprehensible or only partially understandable by a human reader. We then evaluate how adequate the robot utterance selection is, when performed manually based on the speech recognition transcriptions or autonomously using (a) predefined sequences of robot utterances, (b) a general state-of-the-art language model that selects utterances based on learner input or the preceding robot utterance, or (c) a custom-made statistical method that is trained on observations of the wizard’s choices in previous conversations. It is shown that adequate or at least acceptable robot utterances are selected by the human wizard in most cases (96%), even though the ASR transcriptions have a high word error rate. Further, the custom-made statistical method performs as well as manual selection of robot utterances based on ASR transcriptions. It was also found that the interaction strategy that the robot employed, which differed regarding how much the robot maintained the initiative in the conversation and if the focus of the conversation was on the robot or the learners, had marginal effects on the word error rate and understandability of the transcriptions but larger effects on the adequateness of the utterance selection. Autonomous robot-led conversations may hence work better with some robot interaction strategies. ; QC 20220112
Keyword: Conversational practice; Dialogue management for spoken human-robot interaction; Language Technology (Computational Linguistics); Non-native speech recognition; Robot-assisted language learning; Språkteknologi (språkvetenskaplig databehandling)
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-306942
https://doi.org/10.1007/s12369-021-00849-8
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17
Sign Language Avatars: A Question of Representation
In: Information; Volume 13; Issue 4; Pages: 206 (2022)
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18
Language-in-Education Policy of Kazakhstan: Post-Pandemic Technology Enhances Language Learning
In: Education Sciences; Volume 12; Issue 5; Pages: 311 (2022)
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19
Developing a Technology-Based Classroom Assessment of Academic Reading Skills for English Language Learners and Teachers: Validity Evidence for Formative Use
In: Languages; Volume 7; Issue 2; Pages: 71 (2022)
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20
TECHNOLOGIES FOR DEVELOPING LEXICAL COMPETENCE OF MEDICAL STUDENTS IN ENGLISH ...
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