Hybrid Morphological Segmentation for Phrase-Based Machine Translation
Stig-Arne Grönroos, Sámi Virpioja, Mikko Kurimo · 2016
This article describes the Aalto University entry to the English-to-Finnish news translation shared task in WMT 2016.Our segmentation method combines the strengths of rule-based and unsupervised morphology.We also attempt to correct errors in the boundary markings by post-processing with a neural morph boundary predictor.