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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 BASE Show 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; Hulden, Mans; Yarowsky, David. - : arXiv, 2018 Abstract: The Universal Dependencies (UD) and Universal Morphology (UniMorph) projects each present schemata for annotating the morphosyntactic details of language. Each project also provides corpora of annotated text in many languages - UD at the token level and UniMorph at the type level. As each corpus is built by different annotators, language-specific decisions hinder the goal of universal schemata. With compatibility of tags, each project's annotations could be used to validate the other's. Additionally, the availability of both type- and token-level resources would be a boon to tasks such as parsing and homograph disambiguation. To ease this interoperability, we present a deterministic mapping from Universal Dependencies v2 features into the UniMorph schema. We validate our approach by lookup in the UniMorph corpora and find a macro-average of 64.13% recall. We also note incompatibilities due to paucity of data on either side. Finally, we present a critical evaluation of the foundations, strengths, and ... : UDW18 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1810.06743 https://arxiv.org/abs/1810.06743 BASE Hide 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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