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1
Evaluating Multiway Multilingual NMT in the Turkic Languages ...
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2
Findings of the WMT 2021 Shared Task on Quality Estimation ...
Abstract: We report the results of the WMT 2021 shared task on Quality Estimation, where the challenge is to predict the quality of the output of neural machine translation systems at the word and sentence levels. This edition focused on two main novel additions: (i) prediction for unseen languages, i.e. zero-shot settings, and (ii) prediction of sentences with catastrophic errors. In addition, new data was released for a number of languages, especially post-edited data. Participating teams from 19 institutions submitted altogether 1263 systems to different task variants and language pairs. ...
Keyword: Bilingual Lexicon Induction; Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://underline.io/lecture/39586-findings-of-the-wmt-2021-shared-task-on-quality-estimation
https://dx.doi.org/10.48448/n1nv-gd47
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3
Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation ...
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4
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters ...
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5
Robust Open-Vocabulary Translation from Visual Text Representations ...
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6
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information ...
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7
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation ...
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8
Identifying the Importance of Content Overlap for Better Cross-lingual Embedding Mappings ...
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9
Simultaneous Neural Machine Translation with Constituent Label Prediction ...
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10
Just Ask! Evaluating Machine Translation by Asking and Answering Questions ...
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11
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces ...
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12
Findings of the WMT Shared Task on Machine Translation Using Terminologies ...
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13
Translation Transformers Rediscover Inherent Data Domains ...
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14
Phrase-level Active Learning for Neural Machine Translation ...
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15
A Fine-Grained Analysis of BERTScore ...
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16
Wine is not v i n. On the Compatibility of Tokenizations across Languages ...
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