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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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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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Abstract:
In recent years Artificial Intelligence has become a core part of many businesses, from manufacturers to service providers, AI can be found helping to improve business processes as well as providing customized experiences and support for the customers. Natural language processing gives computers the ability to understand human language, recent breakthroughs in multilingual models bring us closer to overcome language barriers and achieve various tasks regardless of the language. This brings to companies the opportunity to process data and provide services to customers regardless of their language. In this dissertation, we review the progress of NLP towards multilingual text classification, our results suggest that using a machine translation to augment our corpora is a suitable approach to fine-tune multi-language models like XLM-Roberta, obtaing better results than zero-shot approaches. Our results also suggest that in domain pre-training can help to increase the performance of the classification for both monolingual and multi-language classifiers ; Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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Keyword:
Customer Support; Deep Learning; Multi-Language Text Classification; Natural Language Processing; Supervised Machine Learning; Text Classification
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URL: http://hdl.handle.net/10362/134446
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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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