Linguistic model database for linguistic recognition, linguistic recognition device and linguistic recognition method, and linguistic recognition system

1. A non-transitory processor readable medium for storing a database, the database being configured to be readable by at least one processor for instructing the at least one processor to execute a computer process,

wherein the database comprises:

common linguistic model data configured to be accessible by the at least one processor to stochastically infer a word or a sentence from a character acquired by recognizing a language input by a user; and

individual linguistic model data configured to be accessible by the at least one processor to stochastically infer an individual use word or an individual use sentence related to the user by collecting recognition-related information transmitted through one or more client devices used by the user after storing the common linguistic model data, and

wherein the at least one processor is configured to:

analyze the collected recognition-related information, which is used by the user of a linguistic recognition device, to acquire the individual linguistic model data,

extract the individual use word excluded from the common linguistic model data, and

store the extracted individual use word as the individual linguistic model data.

2. The non-transitory processor readable medium according to claim 1 , wherein the individual linguistic model data is acquired by at least one of analyzing an individual unique language pattern, analyzing a user member group language pattern, and analyzing a real-time word on the Web.

3. The non-transitory processor readable medium according to claim 1 , wherein the stored individual linguistic model data is updated with individual linguistic model data stored in a cloud server.

4. The non-transitory processor readable medium according to claim 1 , wherein the common linguistic model data and the individual linguistic model data are respectively stored in different data areas of the storage.

5. The non-transitory processor readable medium according to claim 3 , wherein the individual linguistic model data of the cloud server is acquired by analyzing the recognition-related information collected and transmitted through one or more client devices used by the user.

6. The non-transitory processor readable medium according to claim 5 , wherein the recognition-related information is collected for a predetermined period of time through one or more client devices used by a user and transmitted.

7. The non-transitory processor readable medium according to claim 1 , wherein the language input by the user comprises a voice or a character.

8. A method of building a database for a linguistic recognition device, the method comprising:

storing common linguistic model data configured to be accessible by at least one processor to stochastically infer a word or a sentence from a character acquired by recognizing a language input by a user in a storage section of the linguistic recognition device;

collecting recognition-related information related to the user after storing the common linguistic model data;

analyzing the collected recognition-related information to be stored as individual linguistic model data;

extracting an individual use word or an individual use sentence excluded from the common linguistic model data, and

storing the extracted individualistic use word as the individual linguistic model data.

9. The method according to claim 8 , wherein the individual linguistic model data is acquired by at least one of analyzing an individual unique language pattern, analyzing user member group language pattern, and analyzing a real-time word on the Web.

10. The method according to claim 9 , wherein the analysis is performed in a cloud server, and the analyzed and acquired individual linguistic model data is stored in a storage section of the cloud server.

11. The method according to claim 10 , wherein the analysis is performed with respect to recognition-related information collected and the recognition-related information is transmitted through one or more client devices used by the user.

12. The method according to claim 11 , wherein the recognition-related information is collected for a predetermined period of time and transmitted to the cloud server.

13. The method according to claim 10 , wherein the stored individual linguistic model data is updated with the individual linguistic model data stored in the cloud server.

14. A linguistic recognition device, the device comprising:

a user language input section through which a user inputs a language;

a character recognition unit configured to recognize a character from the language input through the user language input section;

a database; and

a word recognition unit configured to stochastically infer a word or a sentence based on common linguistic model data and individual linguistic model data stored in a storage section from the character recognized by the character recognition unit,

wherein the database comprises:

the common linguistic model data configured to stochastically infer the word or the sentence from the character acquired by recognizing the language input by the user; and

the individual linguistic model data configured to stochastically infer an individual use word or an individual use sentence related to the user by collecting recognition-related information transmitted through one or more client devices used by the user after storing the common linguistic data and analyzing the collected recognition-related information, and

wherein the word recognition unit is further configured to:

extract the individual use word excluded from the common linguistic model data, and

store the extracted individual use word as the individual linguistic model data.

15. The linguistic recognition device according to claim 14 , wherein the individual linguistic model data is acquired by at least one of analyzing an individual unique language pattern, by analyzing a user member group language pattern, and by analyzing a real-time word on the World Wide Web.

16. The linguistic recognition device according to claim 14 , further comprising:

a communication section which communicates with a cloud server.

17. The linguistic recognition device according to claim 16 , wherein the recognition-related information is collected for a predetermined period of time through one or more client devices used by the user and transmitted to the cloud server through the communication section.

18. The linguistic recognition device according to claim 14 , wherein the user language input section comprises at least one of a voice input microphone and a character input interface.

19. A linguistic recognition method, the method comprising:

building a database;

receiving a language input by a user;

recognizing a character from the input language; and

recognizing a word by stochastically inferring the word or a sentence based on stored common linguistic model data and individual linguistic model data from the recognized character,

wherein the database comprises:

the common linguistic model data configured to stochastically infer the word or the sentence from the character acquired by recognizing a language input by the user, and

the individual linguistic model data configured to stochastically infer an individual use word or an individual use sentence related to the user by collecting recognition-related information through one or more client devices used by the user after storing the common linguistic data and analyzing the collected recognition-related information, and

wherein the individual use word is excluded from the common linguistic model data.

20. The method according to claim 19 , wherein the individual linguistic model data is acquired by at least one of analyzing an individual unique language pattern, analyzing user member group language pattern, and analyzing a real-time word on the World Wide Web.