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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 Hits 1 – 20 of 27 1 The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation ... Goyal, Naman; Gao, Cynthia; Chaudhary, Vishrav. - : arXiv, 2021 BASE Show details 2 LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models ... Gong, Hongyu; Chaudhary, Vishrav; Tang, Yuqing. - : arXiv, 2021 BASE Show details 3 Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications ... Sun, Shuo; El-Kishky, Ahmed; Chaudhary, Vishrav. - : arXiv, 2021 BASE Show details 4 Improving Zero-Shot Translation by Disentangling Positional Information ... Liu, Danni; Niehues, Jan; Cross, James. - : Association for Computational Linguistics, 2021 BASE Show details 5 As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cohn, Trevor; El-Kishky, Ahmed; Guzman, Francisco; Rubinstein, Benjamin; Wang, Jun; Xu, Chang. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.415 Abstract: Mistranslated numbers have the potential to cause serious effects, such as financial loss or medical misinformation. In this work, we develop comprehensive assessments of the robustness of neural machine translation systems to numerical text via behavioural testing. We explore a variety of numerical translation capabilities a system is expected to exhibit and design effective test examples to expose system underperformance. We find that numerical mistranslation is a general issue: major commercial systems and state-of-the-art research models fail on many of our test examples, for high- and low-resource languages. Our tests reveal novel errors that have not previously been reported in NMT systems, to the best of our knowledge. Lastly, we discuss strategies to mitigate numerical mistranslation. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Neural Network; Semantics URL: https://underline.io/lecture/26506-as-easy-as-1,-2,-3-behavioural-testing-of-nmt-systems-for-numerical-translation https://dx.doi.org/10.48448/n4dc-5176 BASE Hide details 6 Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cohn, Trevor; El-Kishky, Ahmed. - : Underline Science Inc., 2021 BASE Show details 7 Detecting Hallucinated Content in Conditional Neural Sequence Generation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Diab, Mona; Ghazvininejad, Marjan. - : Underline Science Inc., 2021 BASE Show details 8 Alternative Input Signals Ease Transfer in Multilingual Machine Translation ... Sun, Simeng; Fan, Angela; Cross, James. - : arXiv, 2021 BASE Show details 9 Improving Zero-Shot Translation by Disentangling Positional Information ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cross, James; Guzman, Francisco. - : Underline Science Inc., 2021 BASE Show details 10 XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment ... El-Kishky, Ahmed; Renduchintala, Adithya; Cross, James. - : arXiv, 2021 BASE Show details 11 Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ... Ko, Wei-Jen; El-Kishky, Ahmed; Renduchintala, Adithya. - : arXiv, 2021 BASE Show details 12 Improving Zero-Shot Translation by Disentangling Positional Information Liu, Danni; Li, Xian; Niehues, Jan. - : Association for Computational Linguistics, 2021 BASE Show details 13 Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance ... El-Kishky, Ahmed; Guzmán, Francisco. - : arXiv, 2020 BASE Show details 14 MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ... Fomicheva, Marina; Sun, Shuo; Fonseca, Erick. - : arXiv, 2020 BASE Show details 15 Improving Zero-Shot Translation by Disentangling Positional Information ... Liu, Danni; Niehues, Jan; Cross, James. - : arXiv, 2020 BASE Show details 16 Unsupervised quality estimation for neural machine translation Fomicheva, Marina; Guzmán, Francisco; Chaudhary, Vishrav... In: 8 ; 539 ; 555 (2020) BASE Show details 17 An exploratory study on multilingual quality estimation Renduchintala, Adithya; Fomicheva, Marina; Blain, Frederic... In: 366 ; 377 (2020) BASE Show details 18 BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task Guzmán, Francisco; Fomicheva, Marina; Blain, Frédéric... In: 1010 ; 1017 (2020) BASE Show details 19 Findings of the WMT 2020 shared task on quality estimation Fomicheva, Marina; Fonseca, Erick; Guzmán, Francisco... In: 743 ; 764 (2020) BASE Show details 20 MLQE-PE: A multilingual quality estimation and post-editing dataset Fomicheva, Marina; Sun, Shuo; Fonseca, Erick. - : arXiv, 2020 BASE Show details Page: 1 2

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