  We describe the NYU-CUBoulder systems for the SIGMORPHON 2020 Task 0 on
typologically diverse morphological inflection and Task 2 on unsupervised
morphological paradigm completion. The former consists of generating
morphological inflections from a lemma and a set of morphosyntactic features
describing the target form. The latter requires generating entire paradigms for
a set of given lemmas from raw text alone. We model morphological inflection as
a sequence-to-sequence problem, where the input is the sequence of the lemma's
characters with morphological tags, and the output is the sequence of the
inflected form's characters. First, we apply a transformer model to the task.
Second, as inflected forms share most characters with the lemma, we further
propose a pointer-generator transformer model to allow easy copying of input
characters. Our best performing system for Task 0 is placed 6th out of 23
systems. We further use our inflection systems as subcomponents of approaches
for Task 2. Our best performing system for Task 2 is the 2nd best out of 7
submissions.
