Results 21 to 30 of about 37,865 (281)

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, Fransen, Theodorus, stearns, bernardo, McCrae, John Philip, Dereza, Oksana, RANI, PRIYA   +5 more
openaire   +4 more sources

Author identification for Under-Resourced language (KadazanDusun)

Indonesian Journal of Electrical Engineering and Computer Science, 2020
<span>This paper presents the task of Author Identification for KadazanDusun language by using tweets as the source of data to perform Author Identification task of short text on KadazanDusun, which is considered as one the under-resourced language in Malaysia.
Nursyahirah Tarmizi, Suhaila Saee, Dayang Hanani Abang Ibrahim   +2 more
openaire   +2 more sources

Creating language resources for under-resourced languages: methodologies, and experiments with Arabic [PDF]

Language Resources and Evaluation, 2014
Language resources are important for those working on computational methods to analyse and study languages. These resources are needed to help advancing the research in fields such as natural language processing, machine learning, information retrieval and text analysis in general.
Mahmoud El-Haj, Udo Kruschwitz, Chris Fox   +2 more
openaire   +3 more sources

Building Speech Recognition Systems for Language Documentation: The CoEDL Endangered Language Pipeline and Inference System (ELPIS) [PDF]

, 2018
Machine learning has revolutionised speech technologies for major world languages, but these technologies have generally not been available for the roughly 4,000 languages with populations of fewer than 10,000 speakers.
František Kratochvíl, David Nash, Olsson, O, Rolando Coto-Solano, Richards, M, Durantin, G, Heath, Scott, T. Mark Ellison, Ellison, T. Mark, Thieberger, N, Stoakes, H, Ellison, TM, Nash, David, Olsson, Ola, Hywel Stoakes, Arnold, Josh, Foley, B, Thieberger, Nick, Ben Foley, San, N, Maxwell-Smith, Zara, Wiles, Janet, Kratochvíl, F, Kratochvil, Frantiseck, Nick Thieberger, Janet Wiles, San, Nay, Maxwell-Smith, Z, Ola Olsson, Coto-Solano, R, Nay San, Heath, S, Zara Maxwell-Smith, Foley, Ben, Arnold, J, Nash, D, Stoakes, Hywel, Durantin, Gautier, Scott Heath, Gautier Durantin, Daan van Esch, Coto-Solano, Rolando, Josh Arnold, Esch, Daan van, Wiles, J, Richards, Mark B. (R20004), Mark, E, van Esch, D, Mark Richards   +48 more
core   +1 more source

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

Advances 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., BUZO, A., BESACIER, L., BURILEANU, C.   +3 more
doaj   +1 more source

Automatic Speech Recognition Using Limited Vocabulary: A Survey

Applied Artificial Intelligence, 2022
Automatic Speech Recognition (ASR) is an active field of research due to its large number of applications and the proliferation of interfaces or computing devices that can support speech processing.
Jean Louis K. E Fendji, Diane C. M. Tala, Blaise O. Yenke, Marcellin Atemkeng   +3 more
doaj   +1 more source

Code-Switching in Automatic Speech Recognition: The Issues and Future Directions

Applied Sciences, 2022
Code-switching (CS) in spoken language is where the speech has two or more languages within an utterance. It is an unsolved issue in automatic speech recognition (ASR) research as ASR needs to recognise speech in bilingual and multilingual settings ...
Mumtaz Begum Mustafa, Mansoor Ali Yusoof, Hasan Kahtan Khalaf, Ahmad Abdel Rahman Mahmoud Abushariah, Miss Laiha Mat Kiah, Hua Nong Ting, Saravanan Muthaiyah   +6 more
doaj   +1 more source

Extractive summarization of Malayalam documents using latent Dirichlet allocation: An experience

Journal of Intelligent Systems, 2022
Automatic text summarization (ATS) extracts information from a source text and presents it to the user in a condensed form while preserving its primary content.
Kondath Manju, Suseelan David Peter, Idicula Sumam Mary   +2 more
doaj   +1 more source

Offensive Language Detection in Under-Resourced Algerian Dialectal Arabic Language

, 2023
This paper addresses the problem of detecting the offensive and abusive content in Facebook comments, where we focus on the Algerian dialectal Arabic which is one of under-resourced languages. The latter has a variety of dialects mixed with different languages (i.e. Berber, French and English). In addition, we deal with texts written in both Arabic and
Oussama Boucherit, Kheireddine Abainia
openaire   +2 more sources

Domain Generalization for Language-Independent Automatic Speech Recognition

Frontiers in Artificial Intelligence, 2022
A language-independent automatic speech recognizer (ASR) is one that can be used for phonetic transcription in languages other than the languages in which it was trained.
Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Shiyu Chang, Mark Hasegawa-Johnson   +6 more
doaj   +1 more source