CONTEXT BASED CUSTOMIZATION OF WORD ASSISTANCE FUNCTIONS

• US 20160224540A1
• Filed: 02/04/2015
• Published: 08/04/2016
• Est. Priority Date: 02/04/2015
• Status: Active Grant

• Current Assignee: Lenovo PC International Limited (Lenovo Group Ltd.)
• Original Assignee: Lenovo Singapore Pte Limited (Lenovo Group Ltd.)
• Inventors: Stewart, Aaron Michael, Skinner, Jeffrey E., Yu, Jonathan Jen-Wei
• Granted Patent: US 9,613,022 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G06F 40/263 Language identification
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs

Abstract

For generating customized word assistance functions based on user information and context, a system, apparatus, method, and computer program product are disclosed. The apparatus includes a processor and a memory that stores code executable by the processor, including code that accesses personal information of a user, identifies a dialectal nuance of the user based on the personal information, and selects a word recognition dictionary based on the dialectal nuance. The dialectal nuance may be based on a location of the user, a nationality of the user, an age of the user, an education level of the user, and/or a profession of the user. The apparatus may also suggest one or more text entries from the selected word recognition dictionary based on the user input.

Claims

1. An apparatus comprising:

a processor;

a memory that stores code executable by the processor, the code comprising;

code that accesses personal information of a user;

code that identifies a dialectal nuance of the user based on the personal information; and

code that selects a word recognition dictionary based on the dialectal nuance.

2. The apparatus of claim 1, further comprising code that suggests one or more text entries from the selected word recognition dictionary based on user input.

3. The apparatus of claim 1, further comprising code that retrieves the personal information from a networked data storage device.

4. The apparatus of claim 1, further comprising:

code that determines whether a message recipient is a contact of the user based on the personal information; and

code that retrieves the user'"'"'s contact information for the message recipient, wherein selecting the word recognition dictionary comprises selecting the word recognition dictionary based on the contact information.

5. The apparatus of claim 1, further comprising:

code that identifies a message recipient; and

code that determines a geographic location of the message recipient, wherein the word recognition dictionary is updated to include dialect used in the geographic location of the recipient.

6. The apparatus of claim 1, further comprising:

code that identifies a message recipient; and

code that determines a relationship type between the user and the message recipient based on the personal information, wherein selecting the word recognition dictionary comprises selecting the word recognition dictionary based on the determined relationship type.

7. The apparatus of claim 1, wherein the dialectal nuance is based on one or more of a location of the user, a nationality of the user, an age of the user, an education level of the user, and a profession of the user.

8. A method comprising:

accessing, by use of a processor, personal information for a user inputting text;

identifying a dialect trait of the user based on the personal information; and

selecting a text recognition database based on the dialect trait.

9. The method of claim 8, further comprising suggesting one or more text entries from the selected text recognition database based on input text.

10. The method of claim 8, further comprising:

determining whether an input word matches the dialect trait; and

suggesting at least one alternative term from the selected text recognition database in response to the input word not matching the dialect trait.

11. The method of claim 8, further comprising:

receiving, from the user, a manual correction to a word from the selected text recognition database;

updating the personal information for the user based on the correction; and

reselecting the dialectal trait based on the updated personal information.

12. The method of claim 8, further comprising identifying a social context for the inputted text, wherein selecting the text recognition database is further based on the social context.

13. The method of claim 8, further comprising identifying an application receiving the inputted text, wherein identifying a dialect trait comprises determining a dialect trait based on a social setting associated with the identified application.

14. The method of claim 8, further comprising identifying a message recipient associated with the inputted text, wherein identifying a dialect trait comprises determining a dialect trait based on the message recipient.

15. The method of claim 8, wherein the text recognition database comprises a subset of a dictionary customized by the user, the subset including words and phrases matching the dialect trait.

16. The method of claim 8, wherein the personal information includes information selected from the group consisting of a location of the user, a nationality of the user, a native language of the user, a native dialect of the user, an age of the user, an education level of the user, and a profession of the user.

17. The method of claim 8, wherein the dialect trait includes a lexicon indicator specifying a type and an amount of lexicon in the text recognition database, the type of lexicon selected from the group consisting of slang, abbreviations, technical jargon, and profanity.

18. A program product comprising a computer readable storage medium that stores code executable by a processor, the executable code comprising code to perform:

receiving input text from a user;

accessing a personal information associated with the user;

determining a lexical context based on the personal information; and

selecting a word assistance library based on the lexical context.

19. The program product of claim 18, the executable code further comprising code to perform:

determining whether an inputted word matches the lexical context; and

suggesting at least one alternative term from the word assistance library in response to the inputted word not matching the lexical context.

20. The program product of claim 18, wherein personal information comprises a current location of the user and selecting a word assistance library comprises selecting a word assistance library including a dialect of a geographical region associated with the current location of the user.