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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 ...
Abstract: In this paper, we show that automatically-generated questions and answers can be used to evaluate the quality of Machine Translation (MT) systems. Building on recent work on the evaluation of abstractive text summarization, we propose a new metric for system-level MT evaluation, compare it with other state-of-the-art solutions, and show its robustness by conducting experiments for various MT directions. ...
Keyword: Bilingual Lexicon Induction; Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing; Question-Answering Systems
URL: https://dx.doi.org/10.48448/e0tb-zb93
https://underline.io/lecture/39482-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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