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Results tagged with machine-translation
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user 101005
Machine translation in a data science context refers to the process of using machine learning techniques to translate input provided in one language into output in another. It includes topics referring to using text/corpus data, neural machine translation (NMT), deep learning, and speech recognition.
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WMT: What are the differences of WMT14, WMT15 and WMT16 datasets?
Each year, the Workshop on Statistical Machine Translation (WMT) holds a conference that focuses on new tasks, papers, and findings in the field of machine translation.
Let's say we are talking about …
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Questions of understanding - Fast Lexically Constrained Decoding with Dynamic Beam Allocatio...
I'm currently analysing the paper Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation (Post, Vilar 2018): https://arxiv.org/abs/1804.06609
I have understand …
- 151