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Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models ...
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Pushing the right buttons: adversarial evaluation of quality estimation
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In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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THEaiTRobot 1.0
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Rosa, Rudolf; Dušek, Ondřej; Kocmi, Tom. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021. : The Švanda Theatre in Smíchov, 2021. : The Academy of Performing Arts in Prague, Theatre Faculty (DAMU), 2021
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Ptakopět data: the dataset for experiments on outbound translation
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Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining ...
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CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task ...
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Lost in Interpreting: Speech Translation from Source or Interpreter? ...
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Sequence Length is a Domain: Length-based Overfitting in Transformer Models ...
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Neural Machine Translation Quality and Post-Editing Performance ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.801/ Abstract: We test the natural expectation that using MT in professional translation saves human processing time. The last such study was carried out by Sanchez-Torron and Koehn (2016) with phrase-based MT, artificially reducing the translation quality. In contrast, we focus on neural MT (NMT) of high quality, which has become the state-of-the-art approach since then and also got adopted by most translation companies. Through an experimental study involving over 30 professional translators for English -> Czech translation, we examine the relationship between NMT performance and post-editing time and quality. Across all models, we found that better MT systems indeed lead to fewer changes in the sentences in this industry setting. The relation between system quality and post-editing time is however not straightforward and, contrary to the results on phrase-based MT, BLEU is definitely not a stable predictor of the time or final output ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
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URL: https://underline.io/lecture/37538-neural-machine-translation-quality-and-post-editing-performance
https://dx.doi.org/10.48448/9epq-4s07
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End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages ...
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