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Neural Machine Translation - How does neural machine translation works?
Answer
The core principle of Neural Machine Translation (NMT) is to forecast the probability of a word sequence using an artificial neural network. Entire phrases may be modeled and translated using just one integrated model.
Other useful AI terms
- What is the main disadvantage of neural machine translation?
- How does neural machine translation works?
- Why is neural machine translation better?
- What are the issues with neural machine translation?
- Does Google Translate use neural machine translation?
- Which neural network is best for machine translation?
AI suggestions
- What is the main disadvantage of neural machine translation?
- How does neural machine translation works?
- Why is neural machine translation better?
- What are the issues with neural machine translation?
- Does Google Translate use neural machine translation?
- Which neural network is best for machine translation?