Results 31 to 40 of about 45,674 (282)
Information, 2019 This paper proposes a new collaborative and inclusive model for Knowledge Organization Systems (KOS) for sustaining cultural heritage and language diversity.
Amel Fraisse +7 more
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Journal of Telecommunications and Information Technology, 2022 For the past few years, artificial neural networks (ANNs) have been one of the most common solutions relied upon while developing automated speech recognition (ASR) acoustic models. There are several variants of ANNs, such as deep neural networks (DNNs),
Steve Olsen Michael +2 more
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Deep neural networks for automatic speech processing: a survey from large corpora to limited data
EURASIP Journal on Audio, Speech, and Music Processing, 2022 Most state-of-the-art speech systems use deep neural networks (DNNs). These systems require a large amount of data to be learned. Hence, training state-of-the-art frameworks on under-resourced speech challenges are difficult tasks.
Vincent Roger +2 more
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Pythagoras, 2022 This article presents a systematic review of research on language and multilingualism in mathematics education published in the South African journal Pythagoras from 1994 to 2021.
Kathryn McLachlan, Anthony A. Essien
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Automated text simplification as a preprocessing step for machine translation into an under-resourced language [PDF]
, 2019 In this work, we investigate the possibility of using fully automatic text simplification system on the English source in machine translation (MT) for improving its translation into an under-resourced language.
Popović, Maja, Štajner, Sanja
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Mismatched Crowdsourcing based Language Perception for Under-resourced Languages
Procedia Computer Science, 2016 AbstractMismatched crowdsourcing is a technique for acquiring automatic speech recognizer training data in under-resourced languages by decoding the transcriptions of workers who don’t know the target language using a noisy-channel model of cross-language speech perception.
Chen, Wenda +2 more
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Datasets for South African Languages: Bilingual Aligned and Monolingual Data for Machine Translation
Journal of Open Humanities DataThis data paper describes machine translation datasets built for the Autshumato project. The datasets contain both bilingual aligned data between English and all other official written languages of South Africa, namely Afrikaans (ISO 639-3: afr ...
Tanja Gaustad +2 more
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The Usefulness of Imperfect Speech Data for ASR Development in Low-Resource Languages
Information, 2019 When the National Centre for Human Language Technology (NCHLT) Speech corpus was released, it created various opportunities for speech technology development in the 11 official, but critically under-resourced, languages of South Africa.
Jaco Badenhorst, Febe de Wet
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Revista de Llengua i Dret - Journal of Language and Law, 2022 This article reports some of the main achievements of the EU-funded PRINCIPLE project in collecting high-quality language resources (LRs) in the legal domain for four under-resourced European languages, namely Croatian, Irish, Norwegian and Icelandic ...
Federico Gaspari +17 more
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The Cardamom workbench for historical and under-resourced languages
, 2023 This paper describes the creation of a workbench tool designed to make technologies developed throughout the lifespan of the Cardamom project easily accessible to researchers who could most benefit from them, but who may not have the technical expertise to apply bleeding edge technologies to their own datasets.
Doyle, Adrian +5 more
openaire +3 more sources