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Neural machine translation : Tanper


The growth of neural networks in recent years has led to an unprecedented qualitative leap in translation quality. To offer even better translation, the personalization of systems to users’ needs is becoming increasingly important. In fact, this is the main aim of the project: to conduct research into functions that will help to personalize translation models for machine translation services and solutions; in other words, the embedding of specialized terminology to adapt the systems to a specific domain, register or style, and to create computationally lightweight systems.