Results 71 to 80 of about 45,674 (282)
Short Text Language Identification for Under Resourced Languages
Presented at NeurIPS 2019 Workshop on Machine Learning for the Developing ...
openaire +2 more sources
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source
End-to-end neural automatic speech recognition system for low resource languages
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 +4 more
doaj +1 more source
Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages
Bilingual lexicons are a vital tool for under-resourced languages and recent state-of-the-art approaches to this leverage pretrained monolingual word embeddings using supervised or semi-supervised approaches. However, these approaches require cross-lingual information such as seed dictionaries to train the model and find a linear transformation between
Bharathi Raja Chakravarthi +5 more
openaire +1 more source
Why human connection is the true metric of research success
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source
Deep Learning based Fake News Detection For The Kurdish Language
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
Dictionary writing system (DWS) plus corpus query package (CQP): the case of TshwaneLex [PDF]
In this article the integrated corpus query functionality of the dictionary compilation software TshwanelLex is analysed. Attention is given to the handling of both raw corpus data and annotated corpus data.
DE PAUW, Guy +1 more
core +1 more source
Multilingual NMT with a language-independent attention bridge
In this paper, we propose a multilingual encoder-decoder architecture capable of obtaining multilingual sentence representations by means of incorporating an intermediate {\em attention bridge} that is shared across all languages.
Creutz, Mathias +3 more
core +1 more source
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source

