Results 31 to 40 of about 37,865 (281)
MiNgMatch—A Fast N-gram Model for Word Segmentation of the Ainu Language
Information, 2019 Word segmentation is an essential task in automatic language processing for languages where there are no explicit word boundary markers, or where space-delimited orthographic words are too coarse-grained.
Karol Nowakowski +2 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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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.
Wenda Chen +2 more
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Hope Speech detection in under-resourced Kannada language
CoRR, 2021 @article{hande-etal-kanhope, title = "Hope Speech detection in under-resourced Kannada language", author = "Hande, Adeep and Priyadharshini, Ruba and Sampath, Anbukkarasi and Thamburaj, Kingston Pal and Chandran, Prabakaran and Chakravarthi, Bharathi Raja ", journal={SN Computer Science}, publisher={Springer} }
Hande, Adeep +5 more
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Semiautomatic Speech Alignment for Under-Resourced Languages [PDF]
, 2022 Cross-language forced alignment is a solution for linguists who create speech corpora for very low-resource languages. However, cross-language is an additional challenge making a complex task, forced alignment, even more difficult. We study how linguists
Virpioja, Sami +3 more
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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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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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, 2022 This paper reports on experiments for cross-lingual transfer using the anchor-based approach of Schuster et al. (2019) for English and a low-resourced language, namely Hindi.
Lefever, ElsLW220019930142378020002650670000-0002-7755-0591F98A820A-F0ED-11E1-A9DE-61C894A0A6B4 +5 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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