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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 – 15 of 15 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; Xia, Chen; McCarthy, Arya D.; Kann, Katharina. - : arXiv, 2020 Abstract: We propose the task of unsupervised morphological paradigm completion. Given only raw text and a lemma list, the task consists of generating the morphological paradigms, i.e., all inflected forms, of the lemmas. From a natural language processing (NLP) perspective, this is a challenging unsupervised task, and high-performing systems have the potential to improve tools for low-resource languages or to assist linguistic annotators. From a cognitive science perspective, this can shed light on how children acquire morphological knowledge. We further introduce a system for the task, which generates morphological paradigms via the following steps: (i) EDIT TREE retrieval, (ii) additional lemma retrieval, (iii) paradigm size discovery, and (iv) inflection generation. We perform an evaluation on 14 typologically diverse languages. Our system outperforms trivial baselines with ease and, for some languages, even obtains a higher accuracy than minimally supervised systems. ... : Accepted by ACL 2020 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2005.00970 https://arxiv.org/abs/2005.00970 BASE Hide details 5 Predicting Declension Class from Form and Meaning ... Williams, Adina; Pimentel, Tiago; McCarthy, Arya D.. - : arXiv, 2020 BASE Show details 6 Predicting declension class from form and meaning Williams, Adina; Pimentel, Tiago; McCarthy, Arya. - 2020 BASE Show details 7 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 8 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 9 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 10 UniMorph 3.0: Universal Morphology ... McCarthy, Arya D.; Kirov, Christo; Grella, Matteo. - : ETH Zurich, 2020 BASE Show details 11 Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions ... McCarthy, Arya D.; Williams, Adina; Liu, Shijia. - : ETH Zurich, 2020 BASE Show details 12 Predicting Declension Class from Form and Meaning ... Williams, Adina; Pimentel, Tiago; Blix, Hagen. - : ETH Zurich, 2020 BASE Show details 13 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 14 Modeling Color Terminology Across Thousands of Languages ... McCarthy, Arya D.; Wu, Winston; Mueller, Aaron. - : arXiv, 2019 BASE Show details 15 Marrying Universal Dependencies and Universal Morphology ... McCarthy, Arya D.; Silfverberg, Miikka; Cotterell, Ryan. - : arXiv, 2018 BASE Show details

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