Lost in Back-Translation: Emotion Preservation in Neural Machine Translation
Enrica Troiano, Roman Klinger, Sebastian Padó
Abstract
Machine translation provides powerful methods to convert text between languages, and is therefore a technology enabling a multilingual world. An important part of communication, however, takes place at the non-propositional level (e.g., politeness, formality, emotions), and it is far from clear whether current MT methods properly translate this information.
Topics & Concepts
FormalityMachine translationComputer scienceRule-based machine translationNatural language processingArtificial intelligencePolitenessRanking (information retrieval)PhraseModalitiesLinguisticsSocial sciencePhilosophySociologyNatural Language Processing TechniquesTopic ModelingSentiment Analysis and Opinion Mining