CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++

February 17, 2018 ยท Entered Twilight ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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Authors Xiaolin Wang, Masao Utiyama, Eiichiro Sumita arXiv ID 1802.07170 Category cs.CL: Computation & Language Citations 6 Venue Conference on Empirical Methods in Natural Language Processing Repository https://github.com/arthurxlw/cytonMt โญ 21 Last Checked 1 month ago
Abstract
This paper presents an open-source neural machine translation toolkit named CytonMT (https://github.com/arthurxlw/cytonMt). The toolkit is built from scratch only using C++ and NVIDIA's GPU-accelerated libraries. The toolkit features training efficiency, code simplicity and translation quality. Benchmarks show that CytonMT accelerates the training speed by 64.5% to 110.8% on neural networks of various sizes, and achieves competitive translation quality.
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