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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 – 13 of 13 1 Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP Mielke, Sabrina J.; Alyafeai, Zaid; Salesky, Elizabeth... In: https://hal.inria.fr/hal-03540069 ; 2022 (2022) BASE Show details 2 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 3 SIGTYP 2020 Shared Task: Prediction of Typological Features ... Bjerva, Johannes; Salesky, Elizabeth; Mielke, Sabrina J.. - : arXiv, 2020 BASE Show details 4 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. - : ETH Zurich, 2020 BASE Show details 5 Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness ... Mielke, Sabrina J.; Szlam, Arthur; Boureau, Y-Lan. - : arXiv, 2020 BASE Show details 6 Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset ... Roark, Brian; Wolf-Sonkin, Lawrence; Kirov, Christo. - : arXiv, 2020 BASE Show details 7 It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information Mielke, Sabrina J.; Okazaki, Naoaki; Anastasopoulos, Antonios; Cotterell, Ryan; Bugliarello, Emanuele In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (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. URL: https://hdl.handle.net/20.500.11850/462891 https://doi.org/10.3929/ethz-b-000462309 BASE Hide 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 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 11 Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model ... Mielke, Sabrina J.; Eisner, Jason. - : arXiv, 2018 BASE Show details 12 Are All Languages Equally Hard to Language-Model? ... Cotterell, Ryan; Mielke, Sabrina J.; Eisner, Jason. - : arXiv, 2018 BASE Show details 13 Unsupervised Disambiguation of Syncretism in Inflected Lexicons ... Cotterell, Ryan; Kirov, Christo; Mielke, Sabrina J.. - : arXiv, 2018 BASE Show details

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