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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Do RNN States Encode Abstract Phonological Processes? ... Silfverberg, Miikka; Tyers, Francis; Nicolai, Garrett. - : arXiv, 2021 BASE Show details 2 Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models ... Liu, Ling; Hulden, Mans. - : arXiv, 2021 Abstract: Deep learning sequence models have been successfully applied to the task of morphological inflection. The results of the SIGMORPHON shared tasks in the past several years indicate that such models can perform well, but only if the training data cover a good amount of different lemmata, or if the lemmata that are inflected at test time have also been seen in training, as has indeed been largely the case in these tasks. Surprisingly, standard models such as the Transformer almost completely fail at generalizing inflection patterns when asked to inflect previously unseen lemmata -- i.e. under "wug test"-like circumstances. While established data augmentation techniques can be employed to alleviate this shortcoming by introducing a copying bias through hallucinating synthetic new word forms using the alphabet in the language at hand, we show that, to be more effective, the hallucination process needs to pay attention to substrings of syllable-like length rather than individual characters or stems. We report a ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2104.06483 https://dx.doi.org/10.48550/arxiv.2104.06483 BASE Hide details 3 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 4 The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ... McCarthy, Arya D.; Vylomova, Ekaterina; Wu, Shijie. - : arXiv, 2019 BASE Show details 5 Marrying Universal Dependencies and Universal Morphology ... McCarthy, Arya D.; Silfverberg, Miikka; Cotterell, Ryan. - : arXiv, 2018 BASE Show details 6 On the Complexity and Typology of Inflectional Morphological Systems ... Cotterell, Ryan; Kirov, Christo; Hulden, Mans. - : arXiv, 2018 BASE Show details 7 A Comparison of Feature-Based and Neural Scansion of Poetry ... Agirrezabal, Manex; Alegria, Iñaki; Hulden, Mans. - : arXiv, 2017 BASE Show details

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