A Neural Conjugator for Universal Morphological Inflection Task 1.
This model learns how to conjugate words from dictionary-conjugated form pairs and their morphosintacitic information. The structure is almost a simple encoder-decoder model with attention except that this model employs bilinear attention with a diagonalized weight matrix.
This exceeds the baseline model of the shared task in most of the languages.