AIMC Topic: Multilingualism
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Enhancing counterfactual detection in multilingual contexts using a few shot clue phrase approach.
Scientific reports
Apr 10, 2025
This research paper introduces an innovative counterfactual detection system, designed to tackle the complexities of identifying hypothetical statements that describe non-occurring events in diverse fields such as NLP, psychology, medicine, politics,...
Machine learning tools match physician accuracy in multilingual text annotation.
Scientific reports
Feb 14, 2025
In the medical field, text annotation involves categorizing clinical and biomedical texts with specific medical categories, enhancing the organization and interpretation of large volumes of unstructured data. This process is crucial for developing to...
Generative AI chatbots for reliable cancer information: Evaluating web-search, multilingual, and reference capabilities of emerging large language models.
European journal of cancer (Oxford, England : 1990)
Feb 3, 2025
Recent advancements in large language models (LLMs) enable real-time web search, improved referencing, and multilingual support, yet ensuring they provide safe health information remains crucial. This perspective evaluates seven publicly accessible L...
Evaluation of Multilingual Simplifications of IR Procedural Reports Using GPT-4.
Journal of vascular and interventional radiology : JVIR
Jan 9, 2025
This study assessed the feasibility of large language models such as GPT-4 (OpenAI, San Francisco, California) to summarize interventional radiology procedural reports to improve layperson understanding and translate medical texts into multiple langu...
Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence.
Stroke
Jan 2, 2025
BACKGROUND: Predicting treated language improvement (TLI) and transfer to the untreated language (cross-language generalization, CLG) after speech-language therapy in bilingual individuals with poststroke aphasia is crucial for personalized treatment...
Machine learning-based classification of Parkinson's disease using acoustic features: Insights from multilingual speech tasks.
Computers in biology and medicine
Sep 11, 2024
This study advances the automation of Parkinson's disease (PD) diagnosis by analyzing speech characteristics, leveraging a comprehensive approach that integrates a voting-based machine learning model. Given the growing prevalence of PD, especially am...
Exploring the effectiveness of reward-based learning strategies for second-language speech sounds.
Psychonomic bulletin & review
Aug 7, 2024
Adults struggle to learn non-native speech categories in many experimental settings (Goto, Neuropsychologia, 9(3), 317-323 1971), but learn efficiently in a video game paradigm where non-native speech sounds have functional significance (Lim & Holt, ...
MedExpQA: Multilingual benchmarking of Large Language Models for Medical Question Answering.
Artificial intelligence in medicine
Jul 31, 2024
Large Language Models (LLMs) have the potential of facilitating the development of Artificial Intelligence technology to assist medical experts for interactive decision support. This potential has been illustrated by the state-of-the-art performance ...
Cross-lingual hate speech detection using domain-specific word embeddings.
PloS one
Jul 30, 2024
THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. Hate speech detection in online social networks is a multidimensional problem, dependent on language and cultural factors. Most supervised learning ...
Validating the AI-assisted second language (L2) learning attitude scale for Chinese college students and its correlation with L2 proficiency.
Acta psychologica
Jul 1, 2024
The positive impact of Artificial Intelligence (AI) on second language (L2) learning is well-documented. An individual's attitude toward AI significantly influences its adoption. Despite this, no specific scale has been designed to measure this attit...
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