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Many machine translation toolkits make use of a data preparation step wherein raw data is transformed into a tensor format that can be used directly by the trainer.
Bleu: a method for automatic evaluation of machine translation
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chrF: character n-gram F-score for automatic MT evaluation
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Guided alignment training for topic-aware neural machine translation
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Subword regularization: Improving neural network translation models with multiple subword candidates
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A call for clarity in reporting BLEU scores
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Robust open-vocabulary translation from visual text representations
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WeChat neural machine translation systems for WMT21
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Sockeye 3: Fast neural machine translation with pytorch
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Thamme Gowda, Zhao Zhang, Chris Mattmann, and Jonathan May. 2021 · 2021
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Findings of the 2022 conference on machine translation (WMT22)
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Augly: Data augmentations for robustness
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Escaping the sentence-level paradigm in machine translation
Matt Post and Marcin Junczys-Dowmunt. 2023 · 2023
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