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1
Improving Zero-Shot Translation by Disentangling Positional Information ...
Liu, Danni; Niehues, Jan; Cross, James. - : Association for Computational Linguistics, 2021
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2
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation ...
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3
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning ...
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4
Detecting Hallucinated Content in Conditional Neural Sequence Generation ...
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5
Improving Zero-Shot Translation by Disentangling Positional Information ...
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6
Improving Zero-Shot Translation by Disentangling Positional Information
Liu, Danni; Li, Xian; Niehues, Jan. - : Association for Computational Linguistics, 2021
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7
Unsupervised quality estimation for neural machine translation
In: 8 ; 539 ; 555 (2020)
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8
An exploratory study on multilingual quality estimation
In: 366 ; 377 (2020)
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9
BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task
In: 1010 ; 1017 (2020)
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10
Findings of the WMT 2020 shared task on quality estimation
In: 743 ; 764 (2020)
Abstract: © 2020 The Authors. Published by Association for Computational Linguistics. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website; https://www.aclweb.org/anthology/2020.wmt-1.79 ; We report the results of the WMT20 shared task on Quality Estimation, where the challenge is to predict the quality of the output of neural machine translation systems at the word, sentence and document levels. This edition included new data with open domain texts, direct assessment annotations, and multiple language pairs: English-German, English-Chinese, Russian-English, Romanian-English, Estonian-English, Sinhala-English and Nepali-English data for the sentence-level subtasks, English-German and English-Chinese for the word-level subtask, and English-French data for the document-level subtask. In addition, we made neural machine translation models available to participants. 19 participating teams from 27 institutions submitted altogether 1374 systems to different task variants and language pairs.
URL: http://hdl.handle.net/2436/623855
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11
Pairwise Neural Machine Translation Evaluation ...
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12
Machine Translation Evaluation with Neural Networks ...
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13
Niveles de dificultad de la conciencia fonológica y aprendizaje lector ; Levels of difculty in phonological awareness and learning to read
In: Aguilar, M., Marchena, E., Navarro, J. I., & Menacho, I. (2011). Niveles de dificultad de la conciencia fonológica y aprendizaje lector. [Levels of difculty in phonological awareness and learning to read]. Revista de Logopedia, Foniatría y Audiología , 31(2), 96-105. doi:10.1016/S0214-4603(11)70177-2 (2014)
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