Results 81 to 90 of about 972,067 (310)
Developing a Hybrid Morphological Analyzer for Low-Resource Languages
Morphological analysis is the fundamental and preliminary task for Natural Language Processing (NLP) applications, which involve speech and language.
Musica Supriya +3 more
doaj +1 more source
Metadata for Efficient Management of Digital News Articles in Multilingual News Archives
The digital news preservation and management of low-resource languages are challenging tasks, especially in vast collections. Unique identification of individual digital objects is possible with well-defined attributes to assure efficient management ...
Muzammil Khan +4 more
doaj +1 more source
Cross-lingual, Character-Level Neural Morphological Tagging
Even for common NLP tasks, sufficient supervision is not available in many languages -- morphological tagging is no exception. In the work presented here, we explore a transfer learning scheme, whereby we train character-level recurrent neural taggers to
Cotterell, Ryan, Heigold, Georg
core +1 more source
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela +13 more
wiley +1 more source
WhispAdapt: Multilingual dialect recognition in low-resource Dravidian languages
Dialect variation in pronunciation, vocabulary, grammar, and syntax poses a persistent challenge for multilingual speech systems. This challenge is especially noticeable in low-resource Dravidian languages.
Jairam R. +4 more
doaj +1 more source
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
Homophobia and transphobia span identification in low-resource languages
Online platforms have become prevalent because they promote free speech and group discussions. However, they also serve as platforms for hate speech, which can negatively impact the psychological well-being of vulnerable people.
Prasanna Kumar Kumaresan +4 more
doaj +1 more source
Neurals Networks for Projecting Named Entities from English to Ewondo
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
Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants
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
Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source

