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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 – 19 of 19 1 Searching for More Efficient Dynamic Programs ... Vieira, Tim; Cotterell, Ryan; Eisner, Jason. - : ETH Zurich, 2021 BASE Show details 2 Searching for More Efficient Dynamic Programs Cotterell, Ryan; Eisner, Jason; Vieira, Tim In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021) BASE Show details 3 A Corpus for Large-Scale Phonetic Typology ... Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - : arXiv, 2020 BASE Show details 4 A Corpus for Large-Scale Phonetic Typology ... Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - : ETH Zurich, 2020 BASE Show details 5 A Corpus for Large-Scale Phonetic Typology Chodroff, Eleanor; Cotterell, Ryan; Wiesner, Matthew... In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020) BASE Show details 6 Contextualization of Morphological Inflection ... Vylomova, Ekaterina; Cotterell, Ryan; Baldwin, Timothy; Cohn, Trevor; Eisner, Jason. - : arXiv, 2019 Abstract: Critical to natural language generation is the production of correctly inflected text. In this paper, we isolate the task of predicting a fully inflected sentence from its partially lemmatized version. Unlike traditional morphological inflection or surface realization, our task input does not provide ``gold'' tags that specify what morphological features to realize on each lemmatized word; rather, such features must be inferred from sentential context. We develop a neural hybrid graphical model that explicitly reconstructs morphological features before predicting the inflected forms, and compare this to a system that directly predicts the inflected forms without relying on any morphological annotation. We experiment on several typologically diverse languages from the Universal Dependencies treebanks, showing the utility of incorporating linguistically-motivated latent variables into NLP models. ... : NAACL 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1905.01420 https://dx.doi.org/10.48550/arxiv.1905.01420 BASE Hide details 7 Are All Languages Equally Hard to Language-Model? Cotterell, Ryan; Mielke, Sebastian J; Eisner, Jason... In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 8 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 9 On the Complexity and Typology of Inflectional Morphological Systems ... Cotterell, Ryan; Kirov, Christo; Hulden, Mans. - : arXiv, 2018 BASE Show details 10 Are All Languages Equally Hard to Language-Model? ... Cotterell, Ryan; Mielke, Sabrina J.; Eisner, Jason. - : arXiv, 2018 BASE Show details 11 A Deep Generative Model of Vowel Formant Typology ... Cotterell, Ryan; Eisner, Jason. - : arXiv, 2018 BASE Show details 12 Unsupervised Disambiguation of Syncretism in Inflected Lexicons ... Cotterell, Ryan; Kirov, Christo; Mielke, Sabrina J.. - : arXiv, 2018 BASE Show details 13 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 14 Probabilistic Typology: Deep Generative Models of Vowel Inventories ... Cotterell, Ryan; Eisner, Jason. - : arXiv, 2017 BASE Show details 15 Probabilistic Typology: Deep Generative Models of Vowel Inventories ... Cotterell, Ryan; Eisner, Jason. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 16 Probabilistic Typology: Deep Generative Models of Vowel Inventories Eisner, Jason; Cotterell, Ryan. - : Association for Computational Linguistics, 2017. : Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017 BASE Show details 17 Weighting Finite-State Transductions With Neural Context Eisner, Jason; Cotterell, Ryan; Rastogi, Pushpendre. - : Association for Computational Linguistics, 2016. : Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016 BASE Show details 18 Modeling Word Forms Using Latent Underlying Morphs and Phonology ... Cotterell, Ryan; Peng, Nanyun; Eisner, Jason. - : Apollo - University of Cambridge Repository, 2015 BASE Show details 19 Modeling Word Forms Using Latent Underlying Morphs and Phonology Eisner, Jason; Cotterell, Ryan; Peng, Nanyun. - : MIT Press, 2015. : Transactions of the Association for Computational Linguistics (TACL) 2015, 2015 BASE Show details

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