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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 ...
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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 ...
Abstract: Language domains that require very careful use of terminology are abundant and reflect a significant part of the translation industry. In this work we introduce a benchmark for evaluating the quality and consistency of terminology translation, focusing on the medical (and COVID-19 specifically) domain for five language pairs: English to French, Chinese, Russian, and Korean, as well as Czech to German. We report the descriptions and results of the participating systems, commenting on the need for further research efforts towards both more adequate handling of terminologies as well as towards a proper formulation and evaluation of the task. ...
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/39584-findings-of-the-wmt-shared-task-on-machine-translation-using-terminologies
https://dx.doi.org/10.48448/xhkq-hc60
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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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