“…Lexeme5 "draw" "sweep" "carry over the head" "wear" "ask" Model architecture engineering and data hallucination and augmentation techniques have seen consistent performance gains in current literature, but the effect of cross-lingual transfer for morphological inflection is less consistent. Some work has shown advances by conducting cross-lingual learning (Kann et al, 2017b;Anastasopoulos and Neubig, 2019;Murikinati and Anastasopoulos, 2020;Scherbakov, 2020;Peters and Martins, 2020), while some others have not found obvious improvements (Bergmanis et al, 2017;Rama and Çöltekin, 2018;Çöltekin, 2019;Hauer et al, 2019;Madsack and Weißgraeber, 2019). Wu et al (2020) shows the success of the Transformer architecture (Vaswani et al, 2017) for characterlevel transduction tasks, as is also supported by the results of the SIGMORPHON 2020 shared task 0 on morphological inflection (Vylomova et al, 2020).…”