IP Library Granted Patent US 8,560,301
Granted Patent B2
US 8,560,301 · App. 12/715,423 · Granted Oct 15, 2013

Apparatus and method for language expression using context and intent awareness

Inventor: Yeo Jin Kim (Hwaseong-si, KR)
Assignee: Samsung Electronics Co., Ltd.
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Quick Facts
Patent No.
US 8,560,301
App. No.
12/715,423
Granted
Oct 15, 2013
Kind
B2
Abstract

A language expression apparatus and a method based on a context and a intent awareness, are provided. The apparatus and method may recognize a context and an intent of a user and may generate a language expression based on the recognized context and the recognized intent, thereby providing an interpretation/translation service and/or providing an education service for learning a language.

Claims (45)

1. An apparatus for language expression based on context and intent awareness, the apparatus comprising:

a context recognizing unit configured to recognize a context of a user by analyzing sensing information collected from the user's environment;

an intent recognizing unit configured to recognize an intent of the user based on the recognized context;

a language generating unit configured to generate a language expression based on the recognized context and the recognized intent and refine the substance of the language expression based upon information gathered from a source independent of the sensing information; and

an output unit configured to convert the refined language expression into a language that is understandable to the user, and to output the converted language expression.

2. The apparatus of claim 1 , further comprising:

a knowledge database configured to store and maintain a knowledge model of at least one domain knowledge;

a behavioral model database configured to store and maintain a user behavior information model including at least one of a user profile of the user, a preference of the user, and a pattern of the user; and

a language database configured to store and maintain data with respect to the language that is understandable to the user.

3. The apparatus of claim 2 , wherein the context recognizing unit recognizes the context of the user through at least one of a retrieval analysis with respect to the user's environment, a logical inference, and a pattern recognition, and combines the collected sensing information with the knowledge model or the behavioral model.

4. The apparatus of claim 2 , wherein the intent recognizing unit derives at least one inference intent by combining the recognized context with at least one of a cognitive model, the knowledge model, and the behavioral model.

5. The apparatus of claim 4 , wherein the intent recognizing unit recognizes the intent of the user based on a predetermined evaluation function predetermined for the at least one analyzed inference intent.

6. The apparatus of claim 5 , wherein the evaluation function analyzes a result of an evaluation with respect to a preference of the user and a detailed intent of the user corresponding to the at least one analyzed inference intent.

7. The apparatus of claim 1 , further comprising:

an information collecting unit configured to collect the sensing information from the user's environment through at least one of a hardware sensor and a software sensor.

8. The apparatus of claim 7 , wherein the hardware sensor comprises at least one of a location identification sensor, a proximity identification sensor, a radio frequency identification (RFID) tag identification sensor, a motion sensor, an acceleration sensor, a gravity sensor, a pressure sensor, a sound sensor, a vision sensor, a touch sensor, a temperature sensor, a humidity sensor, a light sensor, and a bio-sensor.

9. The apparatus of claim 7 , wherein the software sensor collects sensing data from at least one of an electronic calendar application, a scheduler application, an e-mail management application, a message management application, a communication application, a social network application, and a web site management application.

10. The apparatus of claim 1 , wherein the language generating unit generates a first language expression by selecting at least one of a form, a sentence, and a phrase corresponding to the recognized context and the recognized intent.

11. The apparatus of claim 10 , wherein the language generating unit generates a second language expression corresponding to the recognized context and the recognized intent, by combining the first language expression with the collected sensing information.

12. The apparatus of claim 11 , wherein the output unit converts the second language expression into the language that is understandable to the user and outputs the converted second language expression.

13. The apparatus of claim 1 , wherein the language generating unit performs one of setting of a language for the language expression based on a location of the user, and receiving of language set information for the language expression from the user.

14. A method for language expression based on context and intent awareness, the method comprising:

recognizing, with a processor, a context of a user by analyzing sensing information collected from the user's environment;

recognizing an intent of the user based on the recognized context;

generating the language expression based on the recognized context and the recognized intent and refining the substance of the language expression based upon information gathered from a source independent of the sensing information;

converting the refined language expression into a language that is understandable to the user; and

outputting the converted language expression.

15. The method of claim 14 , wherein recognizing the context of the user comprises:

recognizing the context of the user through at least one of a retrieval analysis with respect to the user's environment, a logical inference, and a pattern recognition, and

combining the collected sensing information with a knowledge model or a behavioral model.

16. The method of claim 14 , wherein the recognizing of the intent of the user comprises deriving at least one inference intent by combining the recognized context with at least one of a cognitive model, a knowledge model, and a behavioral model.

17. The method of claim 14 , wherein the recognizing of the context of the user comprises:

collecting the sensing information from the user's environment through at least one of a hardware sensor and a software sensor.

18. The method of claim 14 , wherein the generating of the language expression comprises:

generating a first language expression by selecting at least one of a form, a sentence, and a phrase, corresponding to the recognized context and the recognized intent, and

generating a second language expression corresponding to the recognized context and the recognized intent, by combining the first language expression with the collected sensing information.

19. The method of claim 18 , wherein the converting and outputting of the language expression comprises:

converting the second language expression into the language that is understandable to the user, and

outputting the converted second language expression.

20. A non-transitory computer readable storage medium storing instructions that, when executed by a processor, cause the processor to implement a method comprising:

recognizing a context of a user by analyzing sensing information collected from the user's environment;

recognizing an intent of the user based on the recognized context;

generating a language expression based on the recognized context and the recognized intent and refining the substance of the language expression based upon information gathered from a source independent of the sensing information;

converting the refined language expression into a language that is understandable to the user; and

outputting the converted language expression.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 2, 2010
From: KIM, YEO JIN
To: SAMSUNG ELECTRONICS CO., LTD.
Reel/Frame 024009/0939 →
Priority Claims (1)
KR 10-2009-0045020 · May 22, 2009 · national
Continuity (1)
Related Publication 20100299138A1 · Nov 25, 2010