Machine translation method and apparatus

A processor-implemented method of performing machine translation, the method comprising:

• receiving, at an interface device, a source sentence written in a first language;
• generating, by a neural network and at a processor, a feature vector of the source sentence by inputting the source sentence to input layers of the neural network;
• converting, at the processor and using the neural network, the feature vector of the source sentence to a feature vector of a target sentence, wherein the target sentence is written in a second language;
• and
• generating, at the processor and using the neural network, a normalized sentence from the feature vector of the target sentence by transforming the target sentence, by omitting any one or any combination of any two or more of a vocabulary, a morpheme, or a symbol from the source sentence without replacing the vocabulary, the morpheme, or the symbol.

A machine translation apparatus, comprising:

• an interface device configured to receive a source sentence written in a first language;
• a memory comprising a neural network;
• a processor configured to:
• based on a communication with the memory via a bus, generate, by the neural network, a feature vector of the source sentence by inputting the source sentence to input layers of the neural network;
• convert, using the neural network, the generated feature vector of the source sentence to a feature vector of a normalized sentence;
• generate, using the neural network, a target sentence from the feature vector of the normalized sentence, the normalized sentence being generated from omitting any one or any combination of any two or more of a vocabulary, a morpheme, or a symbol from the source sentence without replacing the vocabulary, the morpheme, or the symbol, wherein the target sentence corresponding to the source sentence is written in a second language;
• and
• provide a result of the generating of the target sentence from output layers of the neural network.