Results 71 to 80 of about 1,389,721 (276)

CINOSUM:An Extractive Summarization Model for Low-resource Multi-ethnic Language [PDF]

open access: yesJisuanji kexue
To address the issue of existing models being unable to handle abstractive summarization for low-resource multilingual languages,this paper proposes an extractive summarization model,CINOSUM,based on CINO(a Chinese minority pre-trained language model).We
WENG Yu, LUO Haoyu, Chaomurilige, LIU Xuan , DONG Jun, LIU Zheng
doaj   +1 more source

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz   +25 more
wiley   +1 more source

Enabling Medical Translation for Low-Resource Languages [PDF]

open access: yes, 2018
We present research towards bridging the language gap between migrant workers in Qatar and medical staff. In particular, we present the first steps towards the development of a real-world Hindi-English machine translation system for doctor-patient communication.
Musleh, Ahmad   +5 more
openaire   +2 more sources

Cognitive Status in People With Epilepsy in the Republic of Guinea: A Prospective, Case–Control Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick   +14 more
wiley   +1 more source

TeenyTinyLlama: Open-source tiny language models trained in Brazilian Portuguese

open access: yesMachine Learning with Applications
Large language models (LLMs) have significantly advanced natural language processing, but their progress has yet to be equal across languages. While most LLMs are trained in high-resource languages like English, multilingual models generally underperform
Nicholas Kluge Corrêa   +4 more
doaj   +1 more source

A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments

open access: yes, 2018
Most speech and language technologies are trained with massive amounts of speech and text information. However, most of the world languages do not have such resources or stable orthography.
Adda, G.   +13 more
core  

Neurals Networks for Projecting Named Entities from English to Ewondo

open access: yes, 2020
Named entity recognition is an important task in natural language processing. It is very well studied for rich language, but still under explored for low-resource languages. The main reason is that the existing techniques required a lot of annotated data
Lombo, Guy Stephane B. Fedim   +2 more
core  

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel   +8 more
wiley   +1 more source

Using Transfer Learning to Realize Low Resource Dungan Language Speech Synthesis

open access: yesApplied Sciences
This article presents a transfer-learning-based method to improve the synthesized speech quality of the low-resource Dungan language. This improvement is accomplished by fine-tuning a pre-trained Mandarin acoustic model to a Dungan language acoustic ...
Mengrui Liu, Rui Jiang, Hongwu Yang
doaj   +1 more source

Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann   +17 more
wiley   +1 more source

Home - About - Disclaimer - Privacy