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Evaluating Facebook's Neural Machine Translation Arabic Outputs for Gisting: Crossover Study

Master program titleMaîtrise universitaire en traduction et technologies : mention Localisation et traduction automatique
Defense date2023
Abstract

This study consists of an evaluation of Facebook’s Machine translation system using automatic and manual methods in order to assess whether the system could be used for gisting public information in the migratory context of Arabic-speaking refugees.

Keywords
  • Machine Translation
  • Facebook
  • Arabic
  • Gisting
  • Automatic Evaluation
  • Human Evaluation
  • NMT
Citation (ISO format)
BEN FARHAT, Belkiss. Evaluating Facebook’s Neural Machine Translation Arabic Outputs for Gisting: Crossover Study. Master, 2023.
Main files (1)
Master thesis
accessLevelPublic
Identifiers
  • PID : unige:171742
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398downloads

Technical informations

Creation27/09/2023 11:55:06
First validation28/09/2023 06:30:00
Update28/03/2024 07:25:55
Status update28/03/2024 07:25:55
Last indexation17/12/2024 15:38:30
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