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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 Page: 1 2 Hits 1 – 20 of 22 1 Backtranslation in Neural Morphological Inflection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hulden, Mans; Liu, Ling. - : Underline Science Inc., 2021 BASE Show details 2 To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hulden, Mans; Liu, Ling. - : Underline Science Inc., 2021 BASE Show details 3 Applying the Transformer to Character-level Transduction ... Wu, Shijie; Cotterell, Ryan; Hulden, Mans. - : ETH Zurich, 2021 BASE Show details 4 Do RNN States Encode Abstract Phonological Alternations? ... NAACL 2021 2021; Hulden, Mans; Nicolai, Garrett. - : Underline Science Inc., 2021 BASE Show details 5 Do RNN States Encode Abstract Phonological Processes? ... Silfverberg, Miikka; Tyers, Francis; Nicolai, Garrett. - : arXiv, 2021 BASE Show details 6 Applying the Transformer to Character-level Transduction Cotterell, Ryan; Hulden, Mans; Wu, Shijie In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021) BASE Show details 7 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 8 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 9 Analogy Models for Neural Word Inflection ... The 28th International Conference on Computational Linguistics 2020; Hulden, Mans; Liu, Ling. - : Underline Science Inc., 2020 BASE Show details 10 UniMorph 3.0: Universal Morphology Kirov, Christo; Nicolai, Garrett; Arkhangelskij, Timofey... In: Proceedings of the 12th Language Resources and Evaluation Conference (2020) BASE Show details 11 UniMorph 3.0: Universal Morphology ... McCarthy, Arya D.; Kirov, Christo; Grella, Matteo. - : ETH Zurich, 2020 BASE Show details 12 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 13 RNN Classification of English Vowels: Nasalized or Not Liu, Ling; Hulden, Mans; Scarborough, Rebecca In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 14 On the Complexity and Typology of Inflectional Morphological Systems Cotterell, Ryan; Kirov, Christo; Hulden, Mans... In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 327-342 (2019) (2019) BASE Show details 15 Marrying Universal Dependencies and Universal Morphology ... McCarthy, Arya D.; Silfverberg, Miikka; Cotterell, Ryan. - : arXiv, 2018 BASE Show details 16 On the Complexity and Typology of Inflectional Morphological Systems ... Cotterell, Ryan; Kirov, Christo; Hulden, Mans. - : arXiv, 2018 BASE Show details 17 Sound Analogies with Phoneme Embeddings Silfverberg, Miikka P; Mao, Lingshuang; Hulden, Mans In: Proceedings of the Society for Computation in Linguistics (2018) BASE Show details 18 Quantifying the Trade-off Between Two Types of Morphological Complexity Cotterell, Ryan; Kirov, Christo; Hulden, Mans... In: Proceedings of the Society for Computation in Linguistics (2018) BASE Show details 19 A Comparison of Feature-Based and Neural Scansion of Poetry ... Agirrezabal, Manex; Alegria, Iñaki; Hulden, Mans. - : arXiv, 2017 BASE Show details 20 Foma: a finite-state compiler and library Hulden, Mans In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 29-32 BLLDB Show details Page: 1 2

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