DeepL Translator aims to provide accurate MT. It was launched in August 2017, and its Japanese translation service was launched in March 2020. ĭeepL Translator (DeepL GmbH, Cologne, Germany) is one of the MT applications employing neural network systems. Several studies have demonstrated that MT using neural networks shows higher translation accuracy in comparison with conventional SMT systems. Recently, MT systems employing different approaches, such as neural networks, have been developed.
This approach employs a large amount of parallel text of the target language pair to train SMT models. Conventional MT uses the statistical machine translation (SMT) framework.
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MT reduces the time required for translation by 95% of that required for manual translation. The quality of MT has been improving, and it is widely used in various fields, such as business and translation services. Machine translation (MT) is a system that automatically translates one language into another. Writing medical articles in English is one of the obstacles faced by non-English-speaking researchers. The share of medical articles published from Japan is only 6% and is gradually declining. The translation for a medical article from Japanese to English was performed accurately by DeepL Translator.Īpproximately 50% of all international medical articles originate from non-English-speaking countries. Compound sentences and sentences with an unclear subject and predicate appeared to be significant predictors for mismatched translation. The match rate in the Results section was significantly higher than that in the other sections while the match rate in the Materials and Methods section was significantly lower than the rate in the other sections. The mean ± standard deviation of the match rate for the entire article was 94.0 ± 2.9%. In turn, three other researchers compared the back-translated Japanese sentences with the original Japanese manuscript and calculated the percentage of sentences that retained the intended meaning. The translated English article was then back-translated into Japanese by three researchers. The original Japanese manuscript was translated into English using DeepL Translator. The subject of this study was an English-language medical article translated from Japanese, which had already been published. In this study, we investigated the accuracy of machine translation from Japanese to English for a medical article using the DeepL Translator. The reliability of DeepL Translator (DeepL GmbH, Cologne, Germany) for the translation for medical articles has not been verified yet.
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