Results 241 to 250 of about 1,389,721 (276)

South African speech-language therapists' perceived competencies and use of Makaton. [PDF]

S Afr J Commun Disord
Mc Geer C, Milton C, Vorster C, Graham M.   +3 more
europepmc   +1 more source

Democratising stroke recovery: a global, multilingual digital public good. [PDF]

Lancet Reg Health West Pac
Feigin VL.
europepmc   +1 more source

Building an intelligent brain platform for small and medium-sized enterprises using ChatGLM and Multi-Agent Systems. [PDF]

PLoS One
Yuan D.
europepmc   +1 more source

Teaching anxiety among novice Chinese language teachers: manifestations, causes, and interventions-a mixed-methods study in Guangdong Province, China. [PDF]

Front Psychol
Xiao K.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Phone Distribution Estimation for Low Resource Languages

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Phones are critical components in various computational linguistic fields, for example, phone distributions could be helpful in speech recognition and speech synthesis. Traditional approaches to estimate phone distributions typically involve G2P systems which are either manually designed by linguists or trained on large datasets.
Xinjian Li, Juncheng Li, Jiali Yao, Alan W Black, Florian Metze   +4 more
openaire   +1 more source

AI-Powered Language Translation for Low-Resource Languages

This paper presents a comprehensive technical framework for AI-powered language translation tailored specifically for low-resource languages. Our approach addresses the severe data scarcity issues by integrating transfer learning, multilingual pre-training, and domain adaptation into a unified neural machine translation (NMT) architecture.
Neelesh, Mungoli, Aditya, Singh
openaire   +2 more sources

Word Embeddings in Low Resource Gujarati Language

2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), 2019
Word embeddings/vectors are becoming an extremely important component of natural language processing tasks. Word2vec and fastText are few of the most common word embedding techniques. While large amount of work has been done to obtain embeddings in resource rich languages like English, work still remains to be done for low resource languages. Our focus
Ishani Joshi, Purvi Koringa, Suman Mitra
openaire   +1 more source

Classifying Educational Lectures in Low-Resource Languages

2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016
Classifying educational resources such as videos and articles can be challenging in low-resource languages due to lack of appropriate tools and sufficient labeled data. To overcome this problem, a crosslingual classification method that utilizes resources created in one high-resource language, such as English, to perform classification in many low ...
Gihad N. Sohsah, Onur Guzey, Zaina Tarmanini   +2 more
openaire   +1 more source