DISAMBIGUATING SYSTEM AND METHOD

• US 20130231919A1
• Filed: 02/01/2013
• Published: 09/05/2013
• Est. Priority Date: 03/01/2012
• Status: Abandoned Application

• Current Assignee: Futaihua Industry (Shenzhen) Co., Ltd. (Hon Hai Precision Industry Co., Ltd.), Hon Hai Precision Industry Co., Ltd.
• Original Assignee: Futaihua Industry (Shenzhen) Co., Ltd. (Hon Hai Precision Industry Co., Ltd.), Hon Hai Precision Industry Co., Ltd.
• Inventors: XIONG, YU-KAI, LI, XIN-HUA
• Application Number:
  US13/756,818
• Publication Number:
  US 20130231919A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30

Abstract

A disambiguating method includes providing a storage unit storing a first database and a second database. The first database includes a dictionary of ambiguous language data, the second database includes a collection of disambiguating algorithms, each piece of ambiguous language data in the dictionary is associated with at least one of the disambiguating algorithms. A sentence input is received from the application system via the interface and recognized if the sentence comprises a piece of ambiguous language date which is defined in the dictionary. The recognized piece of ambiguous language data in the sentence is disambiguated using the at least one associated disambiguating algorithm, and results of disambiguating are generated. An interpretation is selected from the results and output to the application system via the interface. A disambiguating system is also provided.

Claims

1. A disambiguating system, comprising:

an interface, to connect to an application system;

a storage unit, to store a first database and a second database, the first database comprising a dictionary of ambiguous language data, the second database comprising a collection of disambiguating algorithms, each piece of ambiguous language data in the dictionary being associated with at least one of the disambiguating algorithms; and

a processor comprising;

a recognition module, to receive a sentence input from the application system via the interface and recognize if the sentence comprises a piece of ambiguous language date which is defined in the dictionary;

a disambiguating module, to disambiguate the recognized piece of ambiguous language data in the sentence using the at least one associated disambiguating algorithm, and generate results of disambiguating;

a selection module, to select an interpretation from the results; and

an output module, to output the interpretations to the application system via the interface.

2. The disambiguating system according to claim 1, wherein the selection module selects an interpretation from results of the disambiguating algorithms using a decision tree method.

3. The disambiguating system according to claim 1, wherein the disambiguating algorithms are based on professional semantics, colloquial semantics, and context.

4. The disambiguating system according to claim 1, wherein the first database and the second database are allowed to be updated by a user to edit the language data and the disambiguating algorithms.

5. A disambiguating method, comprising:

providing a storage unit storing a first database and a second database, wherein the first database comprises a dictionary of ambiguous language data, the second database comprises a collection of disambiguating algorithms, each piece of ambiguous language data in the dictionary being associated with at least one of the disambiguating algorithms; and

receiving a sentence input from the application system via the interface and recognizing if the sentence comprises a piece of ambiguous language date which is defined in the dictionary;

disambiguating the recognized piece of ambiguous language data in the sentence using the at least one associated disambiguating algorithm, and generating results of disambiguating;

selecting an interpretation from the results; and

outputting the interpretations.

6. The disambiguating method according to claim 5, wherein the step of selecting an interpretation from results uses a decision tree method.

7. The disambiguating method according to claim 5, wherein the disambiguating algorithms are based on professional semantics, colloquial semantics, and context.

8. The disambiguating method according to claim 5, further comprising:

updating the first database and the second database by a user to edit the language data and the disambiguating algorithms.