Learning an artificial language for knowledge-sharing in multilingual translation

In their recent paper Learning an artificial language for knowledge-sharing in multilingual translation, Danni Liu and Jan Niehues investigate multilingual neural machine translation models. Here, they tell us more about the main contributions of their research. Neural machine translation (NMT) is the backbone of many automatic translation platforms nowadays. The second characteristic is especially useful in low-resource conditions, where training data (translated sentence pairs) are limited. To enable knowledge-sharing between languages, and to improve translation quality on low-resource translation directions, a precondition is the ability to capture common features between languages.