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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 – 5 of 5 1 Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources McMillan-Major, Angelina; Alyafeai, Zaid; Biderman, Stella... In: https://hal.inria.fr/hal-03550289 ; 2022 (2022) BASE Show details 2 Masader: Metadata Sourcing for Arabic Text and Speech Data Resources ... Alyafeai, Zaid; Masoud, Maraim; Ghaleb, Mustafa; Al-shaibani, Maged S.. - : arXiv, 2021 Abstract: The NLP pipeline has evolved dramatically in the last few years. The first step in the pipeline is to find suitable annotated datasets to evaluate the tasks we are trying to solve. Unfortunately, most of the published datasets lack metadata annotations that describe their attributes. Not to mention, the absence of a public catalogue that indexes all the publicly available datasets related to specific regions or languages. When we consider low-resource dialectical languages, for example, this issue becomes more prominent. In this paper we create \textit{Masader}, the largest public catalogue for Arabic NLP datasets, which consists of 200 datasets annotated with 25 attributes. Furthermore, We develop a metadata annotation strategy that could be extended to other languages. We also make remarks and highlight some issues about the current status of Arabic NLP datasets and suggest recommendations to address them. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2110.06744 https://dx.doi.org/10.48550/arxiv.2110.06744 BASE Hide details 3 Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios ... Torregrosa, Daniel; Pasricha, Nivranshu; Masoud, Maraim. - : arXiv, 2020 BASE Show details 4 Back-translation approach for code-switching machine translation: A case study Masoud, Maraim; Torregrosa, Daniel; Buitelaar, Paul. - : AICS2019, 2019 BASE Show details 5 Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models Chakravarth, Bharathi Raja; Torregrosa, Daniel; Casas, Noe. - : NUI Galway, 2019 BASE Show details

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