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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 Hits 1 – 4 of 4 1 On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning ... Tanti, Marc; van der Plas, Lonneke; Borg, Claudia. - : arXiv, 2021 BASE Show details 2 Data Augmentation for Speech Recognition in Maltese: A Low-Resource Perspective ... Mena, Carlos; DeMarco, Andrea; Borg, Claudia; van der Plas, Lonneke; Gatt, Albert. - : arXiv, 2021 Abstract: Developing speech technologies is a challenge for low-resource languages for which both annotated and raw speech data is sparse. Maltese is one such language. Recent years have seen an increased interest in the computational processing of Maltese, including speech technologies, but resources for the latter remain sparse. In this paper, we consider data augmentation techniques for improving speech recognition for such languages, focusing on Maltese as a test case. We consider three different types of data augmentation: unsupervised training, multilingual training and the use of synthesized speech as training data. The goal is to determine which of these techniques, or combination of them, is the most effective to improve speech recognition for languages where the starting point is a small corpus of approximately 7 hours of transcribed speech. Our results show that combining the three data augmentation techniques studied here lead us to an absolute WER improvement of 15% without the use of a language model. ... : 30 pages; 9 tables ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2111.07793 https://dx.doi.org/10.48550/arxiv.2111.07793 BASE Hide details 3 Automatic Removal of Identifying Information in Official EU Languages for Public Administrations: The MAPA Project Gianola, Lucie; Ajausks, Ēriks; Arranz, Victoria... In: Legal Knowledge and Information Systems ; Frontiers in Artificial Intelligence and Applications ; International Conference on Legal Knowledge and Information Systems ; https://hal.archives-ouvertes.fr/hal-03058311 ; International Conference on Legal Knowledge and Information Systems, Dec 2020, Brno, Prague, Czech Republic. pp.223-226, ⟨10.3233/FAIA200869⟩ ; http://ebooks.iospress.nl/volume/legal-knowledge-and-information-systems-jurix-2020-the-thirty-third-annual-conference-brno-czech-republic-december-911-2020 (2020) BASE Show details 4 Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning Nicolas, Lionel; Lyding, Verena; Borg, Claudia... In: LREC 2020 - Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02879883 ; LREC 2020 - Language Resources and Evaluation Conference, May 2020, Marseille, France (2020) BASE Show details

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