Method and apparatus for training language model, and method and apparatus for recognizing language

A processor-implemented method, comprising:

• generating a first input feature data sequence and a second input feature data sequence from input data;
• and
• performing forward estimation of a neural network based on the first input feature data sequence and performing backward estimation of the neural network based on the second input feature data sequence to estimate a result of recognizing the input data.

An apparatus, comprising:

• a training data preprocessor configured to generate a first training feature data sequence and a second training feature data sequence from training data;
• and
• a language model training processor configured to train a neural network based language model based on the first training feature data sequence and the second training feature data sequence, perform forward estimation of the neural network with respect to the first training feature data sequence, and perform backward estimation of the neural network with respect to the second training feature data sequence.

An apparatus, comprising:

• an input data preprocessor configured to generate a first input feature data sequence and a second input feature data sequence from input data;
• and
• an input data recognizing processor configured to perform forward estimation of a neural network based on the first input feature data sequence, and perform backward estimation of the neural network based on the second input feature data sequence to estimate a result of recognizing the input data.