Multimodal neural machine translation
Neural Machine Translation is a newly emerging approach to machine translation which attempts to build and train a large neural network that reads a sentence and outputs a notable translation. Nowadays the performance of such machines is in- creasingly in demand and Multilingual Neutral Machine Translation has emerged. There is an abundant bibliography
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Dependency-aware self-attention for robust neural machine translation. [PDF]
Chi C, Li F, Liu Y, Xie P, Yan H.
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Pseudotext Injection and Advance Filtering of Low-Resource Corpus for Neural Machine Translation. [PDF]
Adjeisah M +4 more
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Orthogonal position representations for transformer in neural machine translation. [PDF]
Zhao Y, Zhang Q, Zhou S.
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An entropy-based study of Simplification in ChatGPT translations compared to neural machine translation and human translation across genres. [PDF]
Yao G, Fan L.
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Data augmentation English-Indonesia-Madurese parallel corpus dataset using neural machine translation. [PDF]
Maulana FI +3 more
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Forecasting Erroneous Neural Machine Translation of Disease Symptoms: Development of Bayesian Probabilistic Classifiers for Cross-Lingual Health Translation. [PDF]
Ji M, Xie W, Huang R, Qian X.
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Improvement of English-Chinese bilingual learning by integrating semantic analysis and neural machine translation. [PDF]
Zhao Y, Wang Q.
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Neural Machine Translation-Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study. [PDF]
Joo H +4 more
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Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers. [PDF]
Xie W +8 more
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