Communication terminal having a predictive text editor application

• US 7,224,989 B2
• Filed: 05/03/2002
• Issued: 05/29/2007
• Est. Priority Date: 05/04/2001
• Status: Expired due to Fees

• Current Assignee: Nokia Corporation
• Original Assignee: Nokia Corporation
• Inventors: Kraft, Christian
• Primary Examiner(s): Nguyen; Duc M.
• Assistant Examiner(s): Addy; Anthony S.
• Application Number:
  US10/137,416
• Publication Number:
  US 20030073451A1
• Time in Patent Office: 1,852 Days
• Field of Search: 345/171, 345/168, 345/172, 715/531, 715/536, 715/780, 715/53, 715/703, 715/745, 704/8, 455/418, 455/420, 455/414.1, 455/466, 455/566
• US Class Current: 455/466
• CPC Class Codes: G06F 3/0237 using prediction or retrieval techniques
• CPC Class Codes: G06F 40/263 Language identification
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: H04M 1/72436 for text messaging, e.g. short messaging services [SMS] or e-mails
• CPC Class Codes: H04M 2250/58 including a multilanguage function
• CPC Class Codes: H04M 2250/70 methods for entering alphabetical characters, e.g. multi-tap or dictionary disambiguation methods for entering alphabetical characters per se G06F3/0237

Abstract

A communication terminal has a predictive text editor for use in a dialogue application. The communication terminal comprises a transceiver unit through which said communication terminal is connected with a network and being able to receive a dialogue input. Language information is identified in said dialogue input. A directory language is automatically selected for said predictive text editor according to the identified language. The predictive text editor uses the selected directory language for transforming a string of ambiguous keystrokes entered by the user into text for said dialogue application.

Claims

1. A method performed by a communication terminal, the method comprising:

receiving a dialogue input containing text;

identifying language information from processing of the text of the dialogue input;

setting a directory language for a predictive editor according to the identified language information; and

using the predictive editor for entering input in the dialogue,

wherein the predictive editor is used in a message related dialogue application, and wherein identifying the language information comprises analyzing the dialogue input text, said analyzing of the dialogue input text comprising;

converting words in the dialogue input text into strings of ambiguous key strokes;

generating a candidate list for the dialogue input text words using a language dependent directory based on said strings of ambiguous key strokes;

comparing said candidate list with the original dialogue input text words; and

selecting said language dependent directory in the dialogue application when said comparison indicates a substantial matching between the dialogue input text words and the corresponding candidate lists.

2. The method of claim 1, wherein the dialogue application is one of a mobile Internet related application and a message related application.

3. The method of claim 1, wherein the directory language set for the predictive editor is different from a default language directory designated for the dialogue application.

4. The method of claim 1, wherein the received dialogue input containing text comprises Extensible Hypertext Markup Language (XHTML) content received from a content provider over a network connection.

5. A communication terminal comprising:

a transceiver unit through which said communication terminal is connected with a network and being able to receive a dialogue input containing text;

a processor controlling at least some operations of the communication terminal; and

memory storing computer executable instructions that, when executed by the processor, cause the communication terminal to perform a method comprising;

identifying language information in said dialogue input by processing the text of the dialogue input;

selecting a directory language for a predictive editor according to the identified language information; and

using the selected directory language to transform a string of ambiguous keystrokes entered as text for a message related dialogue application assocaited with the predictive editor,

wherein identifying the language information comprises;

converting the dialogue input text into strings of ambiguous key strokes;

generating a candidate list for the dialogue input text using a language dependent directory based on said strings of ambiguous key strokes;

comparing said candidate list with the original dialogue input text; and

selecting said language dependent directory in the dialogue application when said comparison indicates a substantial matching between the dialogue input text and the corresponding candidate lists.

6. The communication terminal of claim 5, wherein the dialogue application is one of a mobile Internet related application and a message related application running on the communication terminal.

7. The communication terminal of claim 5, wherein the directory language selected for the predictive editor is different than a default language directory of the communication terminal.

8. The communication terminal of claim 5, wherein the text of the dialogue input comprises Extensible Hypertext Markup Language (XHTML) content received from a content provider over a network connection.

9. A communication device comprising:

a processor controlling at least some operations of the electronic device;

memory storing computer executable instructions that, when executed by the processor, cause the communication device to perform a method comprising;

receiving at a predictive editor a dialogue input containing text;

identifying one or more text words from the received text;

converting the one or more text words into one or more corresponding strings of ambiguous keystrokes;

for each string of ambiguous keystrokes, searching a plurality of language directories to identify a set of candidates within each language directory matching the string of ambiguous keystrokes;

based on the searching, identifying language information for the text of the dialogue input; and

setting a directory language for the predictive editor according to the identified language information.

10. The communication device of claim 9, wherein the predictive editor is used in one of a mobile Internet related application and a message related application running on the electronic device.

11. The communication device of claim 9, wherein the directory language set for the predictive editor is different than a default language directory for the communication device.

12. The communication device of claim 11, the method further comprising:

determining that a dialogue session associated with the predictive editor has been terminated;

identifying a new application running on the communication device; and

setting the directory language for the new application according to the default language directory for the electronic device.

13. The communication device of claim 9, wherein the received dialogue input containing text comprises Extensible Hypertext Markup Language (XHTML) content received from a content provider over a network connection.

14. The communication device of claim 9, the method further comprising:

receiving user input at the communication device, the user input corresponding to a string of ambiguous keystrokes; and

transforming the user input into text, based on the directory language set for the predictive editor.

15. The communication device of claim 9, the method further comprising:

determining a default language directory for the communication device,

wherein searching the plurality of language directories comprises searching a language directory corresponding to the default language directory prior to searching any other language directory.

16. The communication device of claim 9, wherein identifying the language information comprises identifying one of the searched language directories for which a matching candidate was found for at least 90% of the strings of ambiguous keystrokes.

17. A method performed by a communication device, the method comprising:

receiving at a predictive editor a dialogue input containing text;

identifying one or more text words from the received text;

converting the one or more text words into one or more corresponding strings of ambiguous keystrokes;

for each string of ambiguous keystrokes, searching a plurality of language directories to identify a set of candidates within each language directory matching the string of ambiguous keystrokes;

based on the searching, identifying language information for the text of the dialogue input; and

setting a directory language for the predictive editor according to the identified language information.

18. The method of claim 17, wherein the predictive editor is used in one of a mobile Internet related application and a message related application.

19. The method of claim 17, wherein the directory language set for the predictive editor is different than a default language directory for an electronic device on which the predictive editor is executing.

20. The method of claim 19, further comprising:

determining that a dialogue session associated with the predictive editor has been terminated;

identifying a new application running on the electronic device; and

setting the directory language for the new application according to the default language directory for the electronic device.

21. The method of claim 17, wherein the received dialogue input containing text comprises Extensible Hypertext Markup Language (XHTML) content received from a content provider over a network connection.

22. The method of claim 17, further comprising:

receiving user input corresponding to a string of ambiguous keystrokes; and

transforming the user input into text, based on the directory language set for the predictive editor.

23. The method of claim 17, further comprising:

determining a default language directory for an electronic device on which the predictive editor is executing,

wherein searching the plurality of language directories comprises searching a language directory corresponding to the default language directory prior to searching any other language directory.

24. The method of claim 17, wherein identifying the language information comprises identifying one of the searched language directories for which a matching candidate was found for at least 90% of the strings of ambiguous keystrokes.