Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection
Katharina Kann, Hinrich Schütze · 2016
Morphological reinflection is the task of generating a target form given a source form, a source tag and a target tag.We propose a new way of modeling this task with neural encoder-decoder models.Our approach reduces the amount of required training data for this architecture and achieves state-of-the-art results, making encoder-decoder models applicable to morphological reinflection even for lowresource languages.We further present a new automatic correction method for the outputs based on edit trees.