Electronic device and controlling method of electronic device

An electronic device comprising:

• a communicator;
• at least one memory storing at least one instruction and storing learning data comprising a plurality of encoding vectors;
• and
• at least one processor configured to access the at least one memory and to execute the at least one instruction,
• wherein the at least one instruction, when executed by the at least one processor, causes the electronic device to:
• based on acquiring information on an original text of a first language, input the information on the original text into a first encoder and a second encoder, acquire as an output of the first encoder a third encoding vector comprising information for acquiring a translation text corresponding to the original text, and acquire as an output of the second encoder a first encoding vector comprising semantic information included in the original text and semantic information included in the third encoding vector,
• input the first encoding vector into a discriminator and acquire as an output of the discriminator a probability value indicating a probability that the first encoding vector corresponds to a normal translation,
• based on the probability value being greater than or equal to a predetermined first threshold value, control the communicator to transmit the first encoding vector to an external device comprising a decoder configured to acquire a translation text of a second language corresponding to the original text,
• based on the probability value being smaller than the predetermined first threshold value, acquire a similarity value for each of the plurality of encoding vectors, wherein each similarity value indicates a degree of similarity between a respective encoding vector of the plurality of encoding vectors and the first encoding vector, identify a second encoding vector among the plurality of encoding vectors having the highest similarity value, and control the communicator to transmit the identified second encoding vector to the external device,
• store the third encoding vector and the first encoding vector in the at least one memory as part of the learning data,
• train the second encoder based on the learning data which includes the third encoding vector and the first encoding vector, and
• repeat the foregoing operations on a second original text using the first encoder and the trained second encoder.