CMU-LTI submission to the SIGMORPHON 2020 Shared Task 0 on typologically diverse morphological inflection . The (unrestricted) submission uses the cross-lingual approach of our last year’s winning submission (Anastasopoulos and Neubig, 2019), but adapted to use specific transfer languages for each test language . Our system, with fixed non-tuned hyperparameters, achieved a macro-averaged accuracy of 80.65 ranking 20th among 31 systems .

Links: PDF - Abstract

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Keywords : submission - transfer - lti - sigmorphon - shared -

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