  In this paper, we present the systems of the University of Stuttgart IMS and
the University of Colorado Boulder (IMS-CUBoulder) for SIGMORPHON 2020 Task 2
on unsupervised morphological paradigm completion (Kann et al., 2020). The task
consists of generating the morphological paradigms of a set of lemmas, given
only the lemmas themselves and unlabeled text. Our proposed system is a
modified version of the baseline introduced together with the task. In
particular, we experiment with substituting the inflection generation component
with an LSTM sequence-to-sequence model and an LSTM pointer-generator network.
Our pointer-generator system obtains the best score of all seven submitted
systems on average over all languages, and outperforms the official baseline,
which was best overall, on Bulgarian and Kannada.
