Results 1 to 10 of about 9,795,875 (280)

Word-length algorithm for language identification of under-resourced languages

open access: yesJournal of King Saud University - Computer and Information Sciences, 2016
Language identification is widely used in machine learning, text mining, information retrieval, and speech processing. Available techniques for solving the problem of language identification do require large amount of training text that are not available
Nicholas Akosu, Ali Selamat
exaly   +4 more sources

Multilingual Sentiment Analysis for Under-Resourced Languages: A Systematic Review of the Landscape

open access: yesIEEE Access, 2023
Sentiment analysis automatically evaluates people’s opinions of products or services. It is an emerging research area with promising advancements in high-resource languages such as Indo-European languages (e.g. English).
Turgay Çelik, Koena Ronny Mabokela
exaly   +3 more sources

Artificial intelligence translation in healthcare: an urgent call for evidence-informed policy frameworks [PDF]

open access: yesBMJ Health & Care Informatics
The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapidly, yet regulatory frameworks lag dangerously behind clinical practice.
Jonathan H Chen   +8 more
doaj   +2 more sources

Spoken word corpus and dictionary definition for an African language [PDF]

open access: yesJournal of Data Mining and Digital Humanities, 2020
The preservation of languages is critical to maintaining and strengthening the cultures and identities of communities, and this is especially true for under-resourced languages with a predominantly oral culture.
Wanjiku Nganga, Ikechukwu Achebe
doaj   +3 more sources

NCHLT Auxiliary speech data for ASR technology development in South Africa

open access: yesData in Brief, 2022
The aim of the National Centre for Human Language Technology (NCHLT) project was to create speech and text resources that would enable Human Language Technology (HLT) development for the 11 official languages of South Africa. The speech data described in
Jaco Badenhorst, Febe de Wet
doaj   +1 more source

Improving the Performance of Low-resourced Speaker Identification with Data Preprocessing

open access: yesJournal of ICT Research and Applications, 2023
Automatic speaker identification is done to tackle daily security problems. Speech data collection is an essential but very challenging task for under-resourced languages like Burmese.
Win Lai Lai Phyu   +2 more
doaj   +1 more source

Strategies for building wordnets for under-resourced languages: The case of African languages

open access: yesLiterator, 2017
The African Wordnet Project (AWN) aims at building wordnets for five African languages: Setswana, isiXhosa, isiZulu, Sesotho sa Leboa (also referred to as Sepedi or Northern Sotho) and Tshivenda.
Sonja E. Bosch, Marissa Griesel
doaj   +1 more source

Speech recognition for under-resourced languages: Data sharing in hidden Markov model systems

open access: yesSouth African Journal of Science, 2017
For purposes of automated speech recognition in under-resourced environments, techniques used to share acoustic data between closely related or similar languages become important.
Febe de Wet   +3 more
doaj   +1 more source

Ús de la tecnologia en la traducció i la interpretació jurídiques: potencial, disponibilitat i aplicacions dels recursos

open access: yesRevista de Llengua i Dret - Journal of Language and Law, 2022
En aquesta introducció es presenta un resum del número especial que la Revista de Llengua i Dret, Journal of Language and Law dedica a la traducció i la interpretació (TI) jurídiques en el món de les tecnologies. Tot i que les tecnologies de la traducció
Christopher D. Mellinger   +1 more
doaj   +1 more source

Enhancing ASR Systems for Under-Resourced Languages through a Novel Unsupervised Acoustic Model Training Technique

open access: yesAdvances in Electrical and Computer Engineering, 2015
Statistical speech and language processing techniques, requiring large amounts of training data, are currently state-of-the-art in automatic speech recognition.
CUCU, H.   +3 more
doaj   +1 more source

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