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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 – 14 of 14 1 Morphological Processing of Low-Resource Languages: Where We Are and What's Next ... Wiemerslage, Adam; Silfverberg, Miikka; Yang, Changbing. - : arXiv, 2022 BASE Show details 2 Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ... Lee, En-Shiun Annie; Thillainathan, Sarubi; Nayak, Shravan. - : arXiv, 2022 BASE Show details 3 Jump-Starting Item Parameters for Adaptive Language Tests ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Egbert, Jesse; LaFlair, Geoff. - : Underline Science Inc., 2021 BASE Show details 4 Unsupervised Morphological Paradigm Completion ... Jin, Huiming; Cai, Liwei; Peng, Yihui. - : arXiv, 2020 BASE Show details 5 Predicting Declension Class from Form and Meaning ... Williams, Adina; Pimentel, Tiago; McCarthy, Arya D.. - : arXiv, 2020 BASE Show details 6 Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions McCarthy, Arya D.; Cotterell, Ryan; Williams, Adina... In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020) BASE Show details 7 Predicting Declension Class from Form and Meaning Cotterell, Ryan; Blix, Hagen; Pimentel, Tiago... In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020) BASE Show details 8 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 9 UniMorph 3.0: Universal Morphology ... McCarthy, Arya D.; Kirov, Christo; Grella, Matteo. - : ETH Zurich, 2020 BASE Show details 10 Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions ... McCarthy, Arya D.; Williams, Adina; Liu, Shijia. - : ETH Zurich, 2020 BASE Show details 11 Predicting Declension Class from Form and Meaning ... Williams, Adina; Pimentel, Tiago; Blix, Hagen. - : 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 Modeling Color Terminology Across Thousands of Languages ... McCarthy, Arya D.; Wu, Winston; Mueller, Aaron. - : arXiv, 2019 BASE Show details 14 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

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