Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection
Table 1: Exact match accuracy of MRI on CELEX. Results of [Dreyer et al.2008]’s model are from their paper; backoff: ngrams+x model; lat-class: ngrams+x+latent class model; lat-region: ngrams+x+latent class+latent region model; baseline: SIGMORPHON16 baseline.
['[EMPTY]', 'model', '13SIA', '2PIE', '2PKE', 'rP']
MED+POET is better than prior work on one task, close in performance on two and worse by a small amount on the third. Unlike \newcitedreyer2008latent’s models, MED does not use any hand-crafted features. MED’s results are weakest on 13SIA. Typical errors on this task include epenthesis (e.g., zirkle vs. zirkele) and irregular verbs (e.g., abhing vs. abhängte).