Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Grid
P. Bahar, C. Brix, H. Ney. IEEE Spoken Language Technology Workshop 2021
Based upon our previous work on two-dimensional LSTMs in machine translation, we investigate a new architecture that allows to translate in both directions for a given language pair. As opposed to other multilingual setups, the translation direction is defined by the network architecture itself, instead of relying on additional tokens that indicate the translation direction.