Copenhagen at
Yova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein · Proceedings of the · 2018
This paper documents the Team Copenhagen system which placed first in the CoNLL-SIGMORPHON 2018 shared task on universal morphological reinflection, Task 2 with an overall accuracy of 49.87.Task 2 focuses on morphological inflection in context: generating an inflected word form, given the lemma of the word and the context it occurs in.Previous SIGMORPHON shared tasks have focused on context-agnostic inflection-the "inflection in context" task was introduced this year.We approach this with an encoder-decoder architecture over character sequences with three core innovations, all contributing to an improvement in performance: (1) a wide context window; (2) a multi-task learning approach with the auxiliary task of MSD prediction; (3) training models in a multilingual fashion.