Results 81 to 90 of about 76,729 (166)

Cross-lingual transfer with multilingual language models for influenza-like-illness detection in social media texts. [PDF]

NPJ Digit Public Health
Mishra N, Ballester J, Agerri R.
europepmc   +1 more source

A large scale multimodal dataset for healthcare domain Ghanaian sign language translation and retrieval based synthesis. [PDF]

Sci Rep
Ahene E, Frowne CI, Adetor R, Amoah NA, Adade R, Owusu-Agyemang K, Gyening ROM, Agyemang JO, Kponyo BA, Acheampong E, Kponyo JJ.   +10 more
europepmc   +1 more source

TigCLaF: a cross-lingual large language model framework for sentiment-aware text classification in low-resource tigrigna. [PDF]

Sci Rep
Gebremeskel HG, Feng C, Abera AM, Binegde GN.   +3 more
europepmc   +1 more source

One test, many tongues: Surveying language proficiency across the globe. [PDF]

Proc Natl Acad Sci U S A
van Rijn P, Sun Y, Lee H, Marjieh R, Sucholutsky I, Lanzarini F, André E, Jacoby N.   +7 more
europepmc   +1 more source

Brain mechanisms of auditory perception in autism spectrum disorder: a comparative perspective on tonal and non-tonal languages. [PDF]

Front Syst Neurosci
Neklyudova A, Liu Y, Xia Y, Sysoeva O.
europepmc   +1 more source

Tuned to language: the influence of musicality on phonaesthetic judgments. [PDF]

Front Psychol
Nemestothy L, Reiterer SM.
europepmc   +1 more source

Zero-shot English-Assamese neural machine translation via pivot-based cross-lingual embedding alignment and transfer learning. [PDF]

Sci Rep
Nath B, Gulzar Y.
europepmc   +1 more source

Bilingual Narrative Development: Analyzing Sentences and Stories Within and Across Languages. [PDF]

Int J Billing
Gallardo TIR, Ramos MN, Pham GT, Ebert KD.   +3 more
europepmc   +1 more source

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study. [PDF]

JMIR Form Res
Li A, Zhou W, Hoda R, Bain C, Poon P.
europepmc   +1 more source

Uncovering advanced transfer learning strategies for deep neural networks in natural language processing. [PDF]

Sci Rep
Abbassy MM, Ead WM, El-Shora AIA, Aboalndr AM.   +3 more
europepmc   +1 more source