Results 81 to 90 of about 9,795,875 (280)

End-to-end neural automatic speech recognition system for low resource languages

Egyptian Informatics Journal
The rising popularity of end-to-end (E2E) automatic speech recognition (ASR) systems can be attributed to their ability to learn complex speech patterns directly from raw data, eliminating the need for intricate feature extraction pipelines and ...
Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú   +4 more
doaj   +1 more source

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

FEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia, Rachel Heilmann, Maximiliano Barrientos, Laura MacNeill, Ingrid Vallee, Sarah K. Schultz, Patrick O'Donoghue, Angelica A. Moresco, Victoria M. Siu, Ilka U. Heinemann   +9 more
wiley   +1 more source

Deep Learning based Fake News Detection For The Kurdish Language

Zanco Journal of Pure and Applied Sciences
In today’s world, technology has facilitated the publication of fake news on social media. Thus, it becomes very difficult to differentiate real news from fake ones particularly in low-resourced languages such as Kurdish.
Soran Badawi
doaj   +1 more source

ASR for Under-Resourced Languages From Probabilistic Transcription

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017
In many under-resourced languages it is possible to find text, and it is possible to find speech, but transcribed speech suitable for training automatic speech recognition ASR is unavailable. In the absence of native transcripts, this paper proposes the use of a probabilistic transcript: A probability mass function over possible phonetic transcripts of
Mark A. Hasegawa-Johnson, Preethi Jyothi, Daniel McCloy, Majid Mirbagheri, Giovanni M. Di Liberto, Amit Das 0007, Bradley Ekin, Chunxi Liu, Vimal Manohar, Hao Tang 0002, Edmund C. Lalor, Nancy F. Chen, Paul Hager, Tyler Kekona, Rose Sloan, Adrian K. C. Lee   +15 more
openaire   +1 more source

Context-dependent multilingual lexical lookup for under-resourced languages [PDF]

, 2013
Current approaches for word sense dis- ambiguation and translation selection typ- ically require lexical resources or large bilingual corpora with rich information fields and annotations, which are often infeasible for under-resourced languages.
Soon, Lay Ki, Lim, Tek Yong, Bali, Ranaivo Malancon, Lim, Lian Tze, Tang, Enya Kong   +4 more
core   +1 more source

GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma

FEBS Open Bio, EarlyView.
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain, Elise Buret, Le Hoang Thanh Nguyen, Marion Cocheteux, Nicolas Touya, Mélanie Dhayer, Romain Dubois, Frank Lafont, Sebastien Janel, Patrice Maboudou, Steve Lancel, Philippe Marchetti   +11 more
wiley   +1 more source

BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells

FEBS Open Bio, EarlyView.
BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley   +1 more source

MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages [PDF]

, 2023
We present the most relevant results of the project MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages in its second year.
Pla Sempere, Leopoldo, Suchomel, Vít, Zaragoza Bernabeu, Jaume, Toral, Antonio, Bañón, Marta, Chichirău, Mălina, Rupnik, Peter, Forcada, Mikel L., Kuzman, Taja, Esplà-Gomis, Miquel, Galiano Jiménez, Aarón, Ljubešić, Nikola, van Noord, Rik, Ramírez Sánchez, Gema   +13 more
core   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

FEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court, Nigel Francis, Andrew Shore, Stephen Rutherford   +3 more
wiley   +1 more source

Evaluating LLMs on Kazakhstan's mathematics exam for university admission

Frontiers in Artificial Intelligence
IntroductionThe rapid advancement of large language models (LLMs) has prompted their exploration in educational contexts, particularly in high-stakes standardized tests such as Kazakhstan's Unified National Testing (UNT) mathematics component, which is ...
Shirali Kadyrov, Shirali Kadyrov, Bolatbek Abdrasilov, Aslan Sabyrov, Nurseit Baizhanov, Alfira Makhmutova, Alfira Makhmutova, Patrick C. Kyllonen   +7 more
doaj   +1 more source