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LA VARIACIÓN LINGÜÍSTICA EN CONTEXTOS ESPECIALIZADOS: VARIEDADES DIATÓPICAS Y DIASTRÁTICAS EN LA EVALUACIÓN E INTERVENCIÓN DEL LENGUAJE
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In: Tonos Digital; NÚMERO 36 - ENERO 2019 (2019)
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Using Rater Cognition to Improve Generalizability of an Assessment of Scientific Argumentation
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In: Practical Assessment, Research, and Evaluation (2019)
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Evaluating Classroom Communication: In Support of Emergent and Authentic Frameworks in Second Language Assessment
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In: Practical Assessment, Research, and Evaluation (2019)
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25 |
Effects of Handwriting and Computer-Print on Composition Scores: A Follow-up to Powers, Fowles, Farnum, & Ramsey
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In: Practical Assessment, Research, and Evaluation (2019)
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Formative Use of Assessment Information: It’s a Process, So Let’s Say What We Mean
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In: Practical Assessment, Research, and Evaluation (2019)
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27 |
Effects of Removing the Time Limit on First and Second Language Intelligence Test Performance
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In: Practical Assessment, Research, and Evaluation (2019)
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28 |
Linguistic Simplification: A Promising Test Accommodation for LEP Students?
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In: Practical Assessment, Research, and Evaluation (2019)
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29 |
S8-II - Situational Eight-II - deutsche Fassung ... : Big Eight DIAMONDS; The Situational Big Eight DIAMONDS ...
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30 |
The Relationship between English Language Proficiency and Academic Achievement for English Language Learners
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In: Doctoral Dissertations and Projects (2018)
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32 |
Comment évaluer objectivement le bilinguisme en terme quantitatif ? Question de la validité de l’évaluation du lexique des enfants bilingues à partir d’une batterie de test étrangère
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In: Journées d’études du Réseau d’Acquisition des Langues Secondes (RéAL2) ; https://hal.archives-ouvertes.fr/hal-02366427 ; Journées d’études du Réseau d’Acquisition des Langues Secondes (RéAL2), Université Paris 8, Nov 2017, Paris, France (2017)
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34 |
The 2016 NIST Speaker Recognition Evaluation
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Abstract:
In 2016, the National Institute of Standards and Technology (NIST) conducted the most recent in an ongoing series of speaker recognition evaluations (SRE) to foster research in robust text-independent speaker recognition, as well as measure performance of current state-of-the-art systems. Compared to previous NIST SREs, SRE16 introduced several new aspects including: an entirely online evaluation platform, a fixed training data condition, more variability in test segment duration (uniformly distributed between 10s and 60s), the use of non-English (Cantonese, Cebuano, Mandarin and Tagalog) conversational telephone speech (CTS) collected outside North America, and providing labeled and unlabeled development (a.k.a. validation) sets for system hyperparameter tuning and adaptation. The introduction of the new non-English CTS data made SRE16 more challenging due to domain/channel and language mismatches as compared to previous SREs. A total of 66 research organizations from industry and academia registered for SRE16, out of which 43 teams submitted 121 valid system outputs that produced scores. This paper presents an overview of the evaluation and analysis of system performance over all primary evaluation conditions. Initial results indicate that effective use of the development data was essential for the top performing systems, and that domain/channel, language, and duration mismatch had an adverse impact on system performance.
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Keyword:
AUTOMATED SPEECH RECOGNITION; CTS(conversational telephone speech); NIST(National Institute of Standards and Technology); speaker detection; speaker verification; SRE(speaker recognition evaluation); TECHNOLOGY; test and evaluation; training; Voice Communications
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URL: http://www.dtic.mil/docs/citations/AD1034656 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1034656
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35 |
Building a multilingual test collection for metadata records
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36 |
Comment évaluer la théorie de l’esprit? Revue systématique des outils d’évaluation destinés aux enfants d’âge préscolaire
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38 |
The Washback of the TOEFL iBT in Vietnam
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In: Australian Journal of Teacher Education (2016)
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39 |
High School GPA and English Graduation Examinations: Predicting College English Placement and English 101 Final Course Grades
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In: Doctoral Dissertations and Projects (2016)
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Correlating English Language Learner CRCT Scores on the Basis of English Language Learner ACCESS Scores
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In: Doctoral Dissertations and Projects (2016)
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