The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2

• URL: http://arxiv.org/abs/2006.11830v1
• Date: Sun, 21 Jun 2020 15:41:58 GMT
• Title: The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2
• Authors: Assaf Singer and Katharina Kann
• Abstract summary: 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.
• Score: 25.234256237085336
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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