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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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Reverse racism: the construction of a slip narrative ; Racismo inverso: la construcción de una narrativa deslizante ; Racismo reverso: a construção de uma narrativa de esquiva
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In: Signótica; Vol. 34 (2022) ; Signótica; v. 34 (2022) ; 2316-3690 ; 0103-7250 (2022)
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When Does Translation Require Context? A Data-driven, Multilingual Exploration ...
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Measuring and Increasing Context Usage in Context-Aware Machine Translation ...
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Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.505 Abstract: Recent work in neural machine translation has demonstrated both the necessity and feasibility of using inter-sentential context, context from sentences other than those currently being translated. However, while many current methods present model architectures that theoretically can use this extra context, it is often not clear how much they do actually utilize it at translation time. In this paper, we introduce a new metric, conditional cross-mutual information, to quantify usage of context by these models. Using this metric, we measure how much document-level machine translation systems use particular varieties of context. We find that target context is referenced more than source context, and that including more context has a diminishing affect on results. We then introduce a new, simple training method, context-aware word dropout, to increase the usage of context by context-aware models. Experiments show that our method not only ...
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Keyword:
Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
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URL: https://underline.io/lecture/25724-measuring-and-increasing-context-usage-in-context-aware-machine-translation
https://dx.doi.org/10.48448/x7mr-nt94
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Do Context-Aware Translation Models Pay the Right Attention? ...
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Findings of the WMT 2021 Shared Task on Quality Estimation ...
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Do Context-Aware Translation Models Pay the Right Attention? ...
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Findings of the WMT 2021 shared task on quality estimation
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In: 689 ; 730 (2021)
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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
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Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning ...
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Findings of the WMT 2020 shared task on quality estimation
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In: 743 ; 764 (2020)
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MLQE-PE: A multilingual quality estimation and post-editing dataset
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