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Förderung des Bildungsspracherwerbs bei heterogenen sprachlichen Voraussetzungen im Unterricht mit digitalen Medien ...
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LEARNER NEEDS RECOGNITION AS A REQUIREMENT IN MODERN LANGUAGE EDUCATION ... : УЧАЩИЕСЯ ТРЕБУЕТСЯ ПРИЗНАНИЕ КАК ТРЕБОВАНИЕ В СОВРЕМЕННОМ ЯЗЫКОВОМ ОБРАЗОВАНИИ ...
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THE ROLE OF WH- QUESTIONS IN TEACHING SPEAKING SKILLS AT SCHOOL ...
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THE ROLE OF WH- QUESTIONS IN TEACHING SPEAKING SKILLS AT SCHOOL ...
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Große Hoffnungen, große Hürden : Der Einfluss von bilingualem Lernen im außerschulischen Lernort Labor auf Leistung, Verständnis, Selbstkonzept, und Kreativität ...
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Identifying preschool measures most predictive of language outcomes at 11 years in the Early Language in Victoria Study ...
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Unsupervised quantification of entity consistency between photos and text in real-world news ...
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Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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Neural machine translation and language teaching : possible implications for the CEFR ...
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A Neural Pairwise Ranking Model for Readability Assessment ...
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Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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Abstract:
Phonotactic constraints can be employed to distinguish languages by representing a speech utterance as a multinomial distribution or phone events. In the present study, we propose a new learning mechanism based on subspace-based representation, which can extract concealed phonotactic structures from utterances, for language verification and dialect/accent identification. The framework mainly involves two successive parts. The first part involves subspace construction. Specifically, it decodes each utterance into a sequence of vectors filled with phone-posteriors and transforms the vector sequence into a linear orthogonal subspace based on low-rank matrix factorization or dynamic linear modeling. The second part involves subspace learning based on kernel machines, such as support vector machines and the newly developed subspace-based neural networks (SNNs). The input layer of SNNs is specifically designed for the sample represented by subspaces. The topology ensures that the same output can be derived from ... : Published in IEEE/ACM Trans. Audio, Speech, Lang. Process., 2020, vol. 28, pp. 3065-3079 ...
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Keyword:
Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD
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URL: https://dx.doi.org/10.48550/arxiv.2203.15576 https://arxiv.org/abs/2203.15576
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A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets ...
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ФОРМИРОВАНИЕ «ГИБКИХ НАВЫКОВ» КАК ОДИН ИЗ СОВРЕМЕННЫХ ТРЕНДОВ В ЛИНГВОДИДАКТИКЕ ... : FORMATION OF SOFT SKILLS AS ONE OF THE MODERN TRENDS IN LINGUISTICS ...
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Дюсенова Д.. - : Deutsche Internationale Zeitschrift für zeitgenössische Wissenschaft, 2022
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Förderung des Bildungsspracherwerbs bei heterogenen sprachlichen Voraussetzungen im Unterricht mit digitalen Medien
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In: Haider, Michael [Hrsg.]; Schmeinck, Daniela [Hrsg.]: Digitalisierung in der Grundschule. Grundlagen, Gelingensbedingungen und didaktische Konzeptionen am Beispiel des Fachs Sachunterricht. Bad Heilbrunn : Verlag Julius Klinkhardt 2022, S. 124-139 (2022)
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ЯЗЫКОВОЙ КЛУБ КАК СРЕДСТВО ОБУЧЕНИЯ РЕЧЕВОЙ ДЕЯТЕЛЬНОСТИ УЧАЩИХСЯ В УСЛОВИЯХ ОНЛАЙН-ОБУЧЕНИЯ ... : LANGUAGE CLUB AS A TUTORIAL OF SPEAKING ACTIVITY OF STUDENTS IN ONLINE TRAINING ...
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Multi language Email Classification Using Transfer learning
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Didattica performativa nella promozione della lingua e cultura Italiana in Irlanda: il corpo e la danza come strumenti di apprendimento linguistico e ponti tra culture
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