Results 21 to 30 of about 45,674 (282)

A Python package for text processing for Serbian: nlpheart [PDF]

Scientific Technical Review, 2020
Within the past two decades, text processing became an important part of most state-of-the-art advanced automation systems. However, for many under-resourced languages it is still challenging to perform textual data preparation, due to the lack of ...
Ostrogonac Stevan, Rastović Borko, Liliom Elizaveta   +2 more
doaj   +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

Zero-Shot Cross-Lingual Transfer with Meta Learning

, 2020
Learning what to share between tasks has been a topic of great importance recently, as strategic sharing of knowledge has been shown to improve downstream task performance.
Augenstein, Isabelle, Bekoulis, Giannis, Bjerva, Johannes, Nooralahzadeh, Farhad   +3 more
core   +1 more source

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

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

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, Michal Ptaszynski, Fumito Masui   +2 more
doaj   +1 more source

Bayesian Models for Unit Discovery on a Very Low Resource Language [PDF]

, 2018
Developing speech technologies for low-resource languages has become a very active research field over the last decade. Among others, Bayesian models have shown some promising results on artificial examples but still lack of in situ experiments. Our work
Besacier, Laurent, Burget, Lukas, Dupoux, Emmanuel, Godard, Pierre, Hasegawa-Johnson, Mark, Khudanpur, Sanjeev, Larsen, Elin, Ondel, Lucas, Scharenborg, Odette, Yvon, François   +9 more
core   +3 more sources