Bridging AI, NLP, and Digital Health: A Bi-Directional Learning Experience at Emory University

Domaine:

healthcarenatural language processing

Type de record:

paper

Créateur:

IfeDasGuoRaj

Éditeur:

IOS

Hôte:

Digital health, natural language processing, and artificial intelligence collectively possess considerable promise, with the potential to transform healthcare particularly within resource-limited settings. This manuscript discusses a research fellowship at the Department of Biomedical Informatics at Emory University, focusing on the outcomes of applying AI and NLP to address healthcare challenges in low- and middle-income countries (LMICs) and the bi-directional learning between academia and real-world field application. The fellowship explored multilingual generative language models, gender bias in NLP, and conversational AI, demonstrating its application through the enhanced development of AvivaAI, a mobile conversational chatbot for cervical cancer awareness in Nigeria.

A Bi-Directional Ge’ez-Amharic Neural Machine Translation: a Deep Learning Approach

Abstract Currently, due to globalization, our world is moving into one village and

Amharic-Kistangigna Bi-directional Machine Translation using Deep Learning

The main goal of this work is to develop bi-directional machine translation between Amharic and Kist

Amharic-Kistanigna Bi-directional Machine Translation using Deep Learning

Bi-Directional Machine Translation Between Amharic and Khimtagne Using Deep Learning

DEVELOP A Bi-DIRECTIONAL ENGLISH - NUER MACHINE TRANSLATION USING DEEP LEARNING APPROACH

The advancement of deep learning has revolutionized natural language processing, with machine transl

JackieMally/BI-DIRECTIONAL-MACHINE-TRANSLATION-

This is a class project done by group 4 that translates English to Kiswahili. It programmed in pytho