NEURAL MACHINE TRANSLATION: STRENGTHS AND WEAKNESSES
DOI:
https://doi.org/10.30890/2709-2313.2023-18-04-019Keywords:
Neural Machine Translation (NMT), Artificial Intelligence, source language, target language, adequacy errorAbstract
Neural Machine translation (NMT) is a new and advanced method of machine translation based on neural networks. NMT systems use artificial intelligence to predict words in the process of translation. This method allows to achieve high efficiency and gooMetrics
References
Bahdanau D., Cho K., Bengio Y. (2015). Neural Machine Translation by Jointly Learning to Align and Translate, arxiv.org/pdf/1409.0473.pdf.
Bentivogli L., Bisazza A., Cettolo M., Federico M. 2016, Neural versus phrase-based machine translation quality: a case study. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP, 257-267.
Cho K., Merrienboer B., Bahdanau D., Bengio Y. (2014).On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. arxiv.org/abs/1419.12/59.
Ha N. T., Huyen N. T. M. (2019). Long Sentence Preprocessing in Neural Machine Translation. 2019, IEEE-RIVF.
Kalchbrenner N., Blunsom P. (2013). Recurrent Continuous Translation Models Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 1700-1709.
Kong X., Tu Z., Shi S., Hovy E., Zhang T. (2019). Neural Machine Translation with Adequacy-Oriented Learning. 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 6618-6625.
Shen G. (2011). Corpus-based Approach to Translation Studies. Cross Cultural Communication. 6(4), 181-187.
Sutskever I., Vinyals O., Le Q.V. (2014). Sequence to Sequence Learning with Neural Networks, arxiv.org/pdf/1409.3215.pdf, 1-9.
Tan Z., Wang S., Zonghan Yang Z., Chen G., Huang X., Sun M., Liu Y.(2020). Neural Machine Translation: a Review of Methods, Resources and Tools. arxiv.org/pdf/2012.15515.pdf, 1-20.
Ustaszewski M. Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings, Proceedings of the Second Workshop on Human-Informed Translation and Interpreting Technology (2019). (HiT-IT 2019), 122-128.
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