A Neural Machine Translation Approach to Translate Text to Pictographs in a Medical Speech Translation System - The BabelDr Use Case
Published inProceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas, Editors Kevin Duh, Francisco Guzman, Stephen Richardson, p. 252-263
Presented at Orlando, September 12-16, 2022
PublisherOrlando, USA : Association for Machine Translation in the Americas
First online date2022-09-12
Abstract
Keywords
- Machine Translation
- Deep Learning
- Pictograph
- UMLS
- BabelDR
- Medical Speech System
- Human Evaluation
- Automatic Evaluation
- Accesibility
Research group
Citation (ISO format)
MUTAL, Jonathan David et al. A Neural Machine Translation Approach to Translate Text to Pictographs in a Medical Speech Translation System - The BabelDr Use Case. In: Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas. Orlando. Orlando, USA : Association for Machine Translation in the Americas, 2022. p. 252–263.
Main files (1)
Proceedings chapter (Published version)
Identifiers
- PID : unige:163491