Results 91 to 100 of about 1,389,721 (276)
Development of a Children’s Educational Dictionary for a Low-Resource Language Using AI Tools
ComputersToday, various interactive tools or partially available artificial intelligence applications are actively used in educational processes to solve multiple problems for resource-rich languages, such as English, Spanish, French, etc.
Diana Rakhimova +5 more
doaj +1 more source
Evaluating Language Model Finetuning Techniques for Low-resource Languages
, 2019 Pretrained models and datasets available at https://github.com/jcblaisecruz02/Tagalog ...
Cruz, Jan Christian Blaise +1 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Intravenous thrombolysis (IVT) before thrombectomy for ischemic stroke may alter clot structure and procedural performance. We investigated how IVT relates to thrombectomy metrics across stroke etiologies. Methods We performed a time‐to‐event analysis of consecutive patients with anterior circulation large vessel occlusion (acLVO ...
Annahita Sedghi +8 more
wiley +1 more source
Tibetan Judicial Event Extraction Based on Deep Word Representation and Hybrid Neural Networks
Applied SciencesFor the extraction of judicial events for Tibetan, a low-resource language, traditional simple neural network approaches struggle to adequately capture the deep semantics and features of the texts because Tibetan texts are usually lengthy and contain ...
Lu Gao, Xiaobing Zhao
doaj +1 more source
Robust speech recognition for low-resource languages
, 2022 Process of human-machine interaction is an integral part of everyday human life in a modern world. The various interfaces are intended to facilitate this interaction and provide maximum comfort for users. The speech interface is the most universal, and it can be used in a vast majority of systems. Speech is the main way of communication between people,
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Modern Speech Recognition for Romanian Language
Applied SciencesDespite having approximately 24 million native speakers, Romanian remains a low-resource language for automatic speech recognition (ASR), with few accurate and publicly available systems.
Remus-Dan Ungureanu, Mihai Dascalu
doaj +1 more source
Obtaining Parallel Sentences in Low-Resource Language Pairs with Minimal Supervision. [PDF]
Comput Intell Neurosci, 2022 Shi X, Yue P, Liu X, Xu C, Xu L.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Speech-to-Sign Gesture Translation for Kazakh: Dataset and Sign Gesture Translation System
ComputersThis paper presents the first prototype of a speech-to-sign language translation system for Kazakh Sign Language (KRSL). The proposed pipeline integrates the NVIDIA FastConformer model for automatic speech recognition (ASR) in the Kazakh language and ...
Akdaulet Mnuarbek +4 more
doaj +1 more source