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1
When Does Translation Require Context? A Data-driven, Multilingual Exploration ...
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Do Context-Aware Translation Models Pay the Right Attention? ...
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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
Abstract: We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE). The dataset contains eleven language pairs, with human labels for up to 10,000 translations per language pair in the following formats: sentence-level direct assessments and post-editing effort, and word-level good/bad labels. It also contains the post-edited sentences, as well as titles of the articles where the sentences were extracted from, and the neural MT models used to translate the text. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2010.04480
https://dx.doi.org/10.48550/arxiv.2010.04480
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4
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning ...
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5
OpenKiwi: An Open Source Framework for Quality Estimation ...
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6
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations ...
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7
Frame-Semantic Parsing
In: MIT Press (2012)
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