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This article describes the Aalto University entry to the WMT18 NewsTranslation Shared Task. We participate in the multilingual subtrack with asystem trained under the constrained condition to translate from English toboth Finnish and Estonian. The system is based on the Transformer model. Wefocus on improving the consistency of morphological segmentation for words thatare similar orthographically, semantically, and distributionally; such wordsinclude etymological cognates, loan words, and proper names. For this, weintroduce Cognate Morfessor, a multilingual variant of the Morfessor method. Weshow that our approach improves the translation quality particularly forEstonian, which has less resources for training the translation model.

Cognate-aware morphological segmentation for multilingual neural translation