Dialogue system, dialogue processing method, translating apparatus, and method of translation

1. A dialogue system, comprising:

a speech recognizer configured to generate an input sentence by converting a speech of a user into a text;

a dialogue manager configured to generate a meaning representation for the input sentence;

a result processor configured to generate a plurality of output sentences corresponding to the meaning representation for the input sentence, wherein

the dialogue manager generates a meaning representation for each of the plurality of output sentences, and wherein the result processor

generates a system response based on the meaning representation for the input sentence and the meaning representation for each of the plurality of output sentences,

assigns a confidence score to each of the plurality of output sentences,

assigns a similarity score for each of the plurality of output sentences based on a similarity degree between the meaning representation for the input sentence and the meaning representation for each of the plurality of output sentences, and

generates the system response based on a sum score that adds the confidence score and the similarity score.

2. The system according to claim 1 , wherein

the result processor determines a rank of the plurality of output sentences using a N-best algorithm.

3. The system according to claim 2 , wherein

the result processor determines the rank of the plurality of output sentences again based on a similarity degree between the meaning representation for the input sentence and the meaning representation for each of the plurality of output sentences.

4. The system according to claim 1 , wherein

the result processor assigns the confidence score to each of the plurality of output sentences using the N-best algorithm.

5. A dialogue processing method, the method comprising:

generating an input sentence by converting a speech of a user into a text;

generating a meaning representation for the input sentence;

generating a plurality of output sentences corresponding to the meaning representation for the input sentence;

generating a meaning representation for each of the plurality of output sentences; and

generating a system response based on the meaning representation for the input sentence and the meaning representation for each of the plurality of output sentences,

wherein generating the system response includes

generating a plurality of output sentences corresponding to the meaning representation comprises,

assigning a confidence score to each of the plurality of output sentences,

assigning a similarity score for each of the plurality of output sentences based on a similarity degree between the meaning representation for the input sentence and the meaning representation for each of the plurality of output sentences, and

determining a final output sentence based on a sum score that adds the confidence score and the similarity score.

6. The method according to claim 5 , wherein

generating the plurality of output sentences corresponding to the meaning representation comprises determining a rank of the plurality of output sentences using a N-best algorithm.

7. The method according to claim 6 , wherein

generating the system response comprises, determining the rank of the plurality of output sentences again based on a similarity degree between the meaning representation for the input sentence and the meaning representation for each of the plurality of output sentences.

8. The method according to claim 5 , wherein

generating the plurality of output sentences corresponding to the meaning representation comprises assigning the confidence score to each of the plurality of output sentences using the N-best algorithm.