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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7...396 Hits 41 – 60 of 7.920 41 Supplemental materials for paper: The Critical Review to Practical Inquiries of Action Research Framework ... sarbunan, thobias. - : Open Science Framework, 2022 BASE Show details 42 Test ... Miller, Lia. - : Open Science Framework, 2022 BASE Show details 43 Repository of psychological instruments in Serbian [Repozitorijum psiholoških instrumenata na srpskom jeziku] (REPOPSI) ... Lazić, Aleksandra. - : Open Science Framework, 2022 BASE Show details 44 The Lannang Corpus (LanCorp): A POS-tagged, sociolinguistic corpus containing recordings and transcriptions of Lannang speech collected from the metropolitan Manila Lannangs between 2016 and 2020 ... Gonzales, Wilkinson Daniel Wong. - : University of Michigan - Deep Blue Data, 2022 BASE Show details 45 Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ... Klumpp, Philipp; Arias-Vergara, Tomás; Pérez-Toro, Paula Andrea. - : Zenodo, 2022 BASE Show details 46 Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ... Klumpp, Philipp; Arias-Vergara, Tomás; Pérez-Toro, Paula Andrea. - : Zenodo, 2022 BASE Show details 47 The Korsakow platform and nonlinear narratives as a means to enhance foreign language learning in HE Pereira, José; Costa Lopes, Ana Maria; Amante, Susana. - : Atena Editora, 2022 BASE Show details 48 Developing Teachers' Advocacy Skills for Multilingual Learners: An Examination of Advocacy in Simulated Environments and School Settings ... : University of Virginia, 2022 BASE Show details 49 К ВОПРОСУ О ЛИНГВИСТИЧЕСКОМ НЕРАВЕНСТВЕ В ПОЛИЛИНГВАЛЬНОМ ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ... : ON THE ISSUE OF LINGUISTIC INEQUALITY IN A MULTILINGUAL EDUCATIONAL ENVIRONMENT ... Свердлова, Н.А.; Барышникова, У.Н.. - : ИП Соколова М.В., 2022 BASE Show details 50 Robust speech recognition for low-resource languages ... Romanenko, Aleksei. - : Universität Ulm, 2022 BASE Show details 51 THE ROLE OF FACULTY LEADERS IN SUPPORTING ACADEMIC STAFF IN MULTILINGUAL EDUCATION PROGRAM ... : ҮШТІЛДІ БІЛІМ БЕРУ БАҒДАРЛАМАСЫ АЯСЫНДА ОҚЫТУШЫЛАРДЫ ҚОЛДАУДАҒЫ ФАКУЛЬТЕТ БАСШЫЛАРЫНЫҢ РӨЛІ ... Aubakirova, B.. - : АО «КазУМОиМЯ им.Абылай хана», 2022 BASE Show details 52 Multilingual Hate Speech Detection ... Λαυρεντιάδου, Βασιλική Γεωργίου. - : Aristotle University of Thessaloniki, 2022 BASE Show details 53 Attention-Language Interface in Multilingual Assessment Instrument for Narratives (MAIN) ... Sekerina, Irina. - : Open Science Framework, 2022 BASE Show details 54 Building MultiStories: A Framework to Diversify the Curriculum in Higher Education Darby, Fionnuala; Dowling, Lindsay In: Other (2022) BASE Show details 55 A Character String-Based Stemming for Morphologically Derivative Languages Gvzelnur Imin; Mijit Ablimit; Hankiz Yilahun; Askar Hamdulla In: Information; Volume 13; Issue 4; Pages: 170 (2022) Abstract: Morphologically derivative languages form words by fusing stems and suffixes, stems are important to be extracted in order to make cross lingual alignment and knowledge transfer. As there are phonetic harmony and disharmony when linguistic particles are combined, both phonetic and morphological changes need to be analyzed. This paper proposes a multilingual stemming method that learns morpho-phonetic changes automatically based on character based embedding and sequential modeling. Firstly, the character feature embedding at the sentence level is used as input, and the BiLSTM model is used to obtain the forward and reverse context sequence, and the attention mechanism is added to this model for weight learning, and the global feature information is extracted to capture the stem and affix boundaries; finally CRF model is used to learn more information from sequence features to describe context information more effectively. In order to verify the effectiveness of the above model, the model in this paper is compared with the traditional model on two different data sets of three derivative languages: Uyghur, Kazakh and Kirghiz. The experimental results show that the model in this paper has the best stemming effect on multilingual sentence-level datasets, which leads to more effective stemming. In addition, the proposed model outperforms other traditional models, and fully consider the data characteristics, and has certain advantages with less human intervention. Keyword: agglutinative language; attention mechanism; BiLSTM-Attention-CRF; context; multilingual language; stemming URL: https://doi.org/10.3390/info13040170 BASE Hide details 56 Cross-Lingual Transfer Learning for Arabic Task-Oriented Dialogue Systems Using Multilingual Transformer Model mT5 Ahlam Fuad; Maha Al-Yahya In: Mathematics; Volume 10; Issue 5; Pages: 746 (2022) BASE Show details 57 Comparative Study of Multiclass Text Classification in Research Proposals Using Pretrained Language Models Eunchan Lee; Changhyeon Lee; Sangtae Ahn In: Applied Sciences; Volume 12; Issue 9; Pages: 4522 (2022) BASE Show details 58 Methods, Models and Tools for Improving the Quality of Textual Annotations Maria Teresa Artese; Isabella Gagliardi In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022) BASE Show details 59 Indigenous Multilingual Education in Vhembe, South Africa Marc D. Patterson; Samantha Gardyne In: Environmental Sciences Proceedings; Volume 15; Issue 1; Pages: 18 (2022) BASE Show details 60 Do a Learner’s Background Languages Change with Increasing Exposure to L3? Comparing the Multilingual Phonological Development of Adolescents and Adults Christina Nelson In: Languages; Volume 7; Issue 2; Pages: 78 (2022) BASE Show details Page: 1 2 3 4 5 6 7...396

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