Word embedding method and apparatus, and voice recognizing method and apparatus

A voice recognizing method comprising:

• generating an input sentence by recognizing a voice;
• detecting an unlabeled word in the input sentence;
• obtaining first feature vectors corresponding to labeled words in the input sentence;
• obtaining a second feature vector corresponding to the unlabeled word based on the first feature vectors;
• and
• generating interpretation information corresponding to the input sentence based on the first feature vectors and the second feature vector.

A word embedding apparatus comprising:

• a transceiving interface configured to receive an input sentence;
• and
• a processor configured to detect an unlabeled word included in the input sentence and to embed the unlabeled word based on labeled words included in the input sentence,
• wherein the transceiving interface is further configured to output a feature vector based on the embedding.

A voice recognizing apparatus comprising:

• a sentence generator configured to generate an input sentence by recognizing a voice;
• a word embeder configured to detect an unlabeled word in the input sentence, to obtain first feature vectors corresponding to labeled words in the input sentence, and to obtain a second feature vector corresponding to the unlabeled word based on the first feature vectors;
• and
• a processor configured to generate interpretation information corresponding to the input sentence based on the first feature vectors and the second feature vector.

A digital device comprising:

• an antenna;
• a cellular radio configured to transmit and receive data via the antenna according to a cellular communications standard;
• a touch-sensitive display;
• a memory configured to store instructions;
• and
• a processor configured to execute the instructions to detect an input sentence through the cellular radio, to detect an unlabeled word in the input sentence, to obtain first feature vectors corresponding to labeled words in the input sentence, to obtain a second feature vector corresponding to the unlabeled word based on the first feature vectors, and to display interpretation information on the touch-sensitive display corresponding to the input sentence based on the first feature vectors and the second feature vector.