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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 Hits 1 – 20 of 57 1 Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning Erdem, Erkut; Kuyu, Menekse; Yagcioglu, Semih. - : AI Access Foundation, 2022 BASE Show details 2 Entity-Based Semantic Adequacy for Data-to-Text Generation Faille, Juliette; Gatt, Albert; Gardent, Claire In: Findings of the Association for Computational Linguistics: EMNLP 2021 ; Proceeddings of the 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03461309 ; Proceeddings of the 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, Punta Cana, Dominican Republic. pp.1530--1540 (2021) BASE Show details 3 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 4 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 5 VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena ... Parcalabescu, Letitia; Cafagna, Michele; Muradjan, Lilitta. - : arXiv, 2021 BASE Show details 6 On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Claudia; Gatt, Albert. - : Underline Science Inc., 2021 BASE Show details 7 Entity-Based Semantic Adequacy for Data-to-Text Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Faille, Juliette; Gardent, Claire. - : Underline Science Inc., 2021 BASE Show details 8 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 9 Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis ... Assimakopoulos, Stavros; Muskat, Rebecca Vella; van der Plas, Lonneke. - : arXiv, 2020 BASE Show details 10 Datasets and Models for Authorship Attribution on Italian Personal Writings ... Ruggiero, Gaetana; Gatt, Albert; Nissim, Malvina. - : arXiv, 2020 BASE Show details 11 Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias ... Bartl, Marion; Nissim, Malvina; Gatt, Albert. - : arXiv, 2020 BASE Show details 12 Unmasking Contextual Stereotypes: Measuring and Mitigating BERT'S Gender Bias ... The 28th International Conference on Computational Linguistics 2020; Bartl, Marion; Gatt, Albert. - : Underline Science Inc., 2020 BASE Show details 13 The languages of Malta Paggio, Patrizia [Herausgeber]; Gatt, Albert [Herausgeber]. - Berlin, Germany : Language Science Press, 2018 DNB Subject Category Language Show details 14 The languages of Malta Paggio, Patrizia (Herausgeber); Gatt, Albert (Herausgeber). - Berlin : Language Science Press, 2018 UB Frankfurt Linguistik Show details 15 The Languages Of Malta ... Paggio, Patrizia; Gatt, Albert. - : Zenodo, 2018 BASE Show details 16 The Languages Of Malta ... Paggio, Patrizia; Gatt, Albert. - : Zenodo, 2018 BASE Show details 17 Specificity measures and reference ... Gatt, Albert; Marín, Nicolás; Rivas-Gervilla, Gustavo. - : arXiv, 2018 BASE Show details 18 Borrowed Affixes And Morphological Productivity: A Case Study Of Two Maltese Nominalisations ... Gatt, Albert; Fabri, Ray. - : Zenodo, 2018 BASE Show details 19 Borrowed Affixes And Morphological Productivity: A Case Study Of Two Maltese Nominalisations ... Gatt, Albert; Fabri, Ray. - : Zenodo, 2018 BASE Show details 20 Conditions on /t/-insertion in Maltese numeral phrases: a reassessment Lucas, Christopher; Spagnol, Michael. - : Berlin, 2018 BASE Show details Page: 1 2 3

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