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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 3 4 5 6 7 8 9 Hits 81 – 100 of 163 81 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 82 Intrinsic Probing through Dimension Selection ... Hennigen, Lucas Torroba; Williams, Adina; Cotterell, Ryan. - : arXiv, 2020 BASE Show details 83 SIGTYP 2020 Shared Task: Prediction of Typological Features ... Bjerva, Johannes; Salesky, Elizabeth; Mielke, Sabrina J.. - : arXiv, 2020 BASE Show details 84 The Paradigm Discovery Problem ... Erdmann, Alexander; Elsner, Micha; Wu, Shijie. - : ETH Zurich, 2020 BASE Show details 85 Information-Theoretic Probing for Linguistic Structure ... Pimentel, Tiago; Valvoda, Josef; Maudslay, Rowan Hall. - : arXiv, 2020 BASE Show details 86 It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information ... Bugliarello, Emanuele; Mielke, Sabrina J.; Anastasopoulos, Antonios; Cotterell, Ryan; Okazaki, Naoaki. - : ETH Zurich, 2020 Abstract: The performance of neural machine translation systems is commonly evaluated in terms of BLEU. However, due to its reliance on target language properties and generation, the BLEU metric does not allow an assessment of which translation directions are more difficult to model. In this paper, we propose cross-mutual information (XMI): an asymmetric information-theoretic metric of machine translation difficulty that exploits the probabilistic nature of most neural machine translation models. XMI allows us to better evaluate the difficulty of translating text into the target language while controlling for the difficulty of the target-side generation component independent of the translation task. We then present the first systematic and controlled study of cross-lingual translation difficulties using modern neural translation systems. Code for replicating our experiments is available online at https://github.com/e-bug/nmt-difficulty. ... : Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ... URL: https://dx.doi.org/10.3929/ethz-b-000462309 http://hdl.handle.net/20.500.11850/462891 BASE Hide details 87 Information-Theoretic Probing for Linguistic Structure ... Pimentel, Tiago; Valvoda, Josef; Maudslay, Rowan H.. - : ETH Zurich, 2020 BASE Show details 88 Intrinsic Probing through Dimension Selection ... Torroba Hennigen, Lucas; Williams, Adina; Cotterell, Ryan. - : ETH Zurich, 2020 BASE Show details 89 Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ... Meister, Clara Isabel; Salesky, Elizabeth; Cotterell, Ryan. - : ETH Zurich, 2020 BASE Show details 90 A Corpus for Large-Scale Phonetic Typology ... Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - : arXiv, 2020 BASE Show details 91 Phonotactic Complexity and its Trade-offs ... Pimentel, Tiago; Roark, Brian; Cotterell, Ryan. - : arXiv, 2020 BASE Show details 92 Phonotactic Complexity and Its Trade-offs ... Pimentel, Tiago; Roark, Brian; Cotterell, Ryan. - : ETH Zurich, 2020 BASE Show details 93 A Corpus for Large-Scale Phonetic Typology ... Salesky, Elizabeth; Chodroff, Eleanor; Pimentel, Tiago. - : ETH Zurich, 2020 BASE Show details 94 Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model ... Leung, Jun Yen; Emerson, Guy; Cotterell, Ryan. - : ETH Zurich, 2020 BASE Show details 95 Morphologically Aware Word-Level Translation ... Czarnowska, Paula; Ruder, Sebastian; Cotterell, Ryan. - : arXiv, 2020 BASE Show details 96 Predicting Declension Class from Form and Meaning ... Williams, Adina; Pimentel, Tiago; McCarthy, Arya D.. - : arXiv, 2020 BASE Show details 97 Predicting declension class from form and meaning Williams, Adina; Pimentel, Tiago; McCarthy, Arya. - 2020 BASE Show details 98 Please Mind the Root: Decoding Arborescences for Dependency Parsing Vieira, Tim; Cotterell, Ryan; Zmigrod, Ran In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020) BASE Show details 99 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 100 Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model Emerson, Guy; Cotterell, Ryan; Leung, Jun Yen In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020) BASE Show details Page: 1 2 3 4 5 6 7 8 9

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