TECHNIQUES FOR RESOLVING KEYBOARD AND INPUT METHOD AMBIGUITY ON COMPUTING DEVICES

• US 20150177847A1
• Filed: 12/23/2013
• Published: 06/25/2015
• Est. Priority Date: 12/23/2013
• Status: Abandoned Application

• Current Assignee: Google Inc. (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Swartz, Luke Hiro, Buryak, Kirill, Lanin, Vladimir, Pournader, Roozbeh
• Application Number:
  US14/138,667
• Publication Number:
  US 20150177847A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/0219 Special purpose keyboards
• CPC Class Codes: G06F 3/0238 Programmable keyboards key guide holders G06F3/0224
• CPC Class Codes: G06F 3/04886 by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus

Abstract

A computer-implemented method can include receiving an input via a first keyboard associated with a first language. The method can include determining a first character string based on the input and the first keyboard. The method can include determining a first probability score indicative of a likelihood that the first character string is appropriate in the first language. The method can include determining a second character string based on the input and a second keyboard associated with a second language when the first probability score is less than a first threshold. The method can include determining a second probability score indicative of a likelihood that the second character string is appropriate in the second language. Based on the probability scores, the method can also include generating an output including at least one of the first and character strings.

Claims

1. A computer-implemented method, comprising:

receiving, at a computing device having one or more processors, an input via a first keyboard associated with the computing device, wherein the first keyboard is associated with a first language;

determining, at the computing device, a first string of characters based on the input and the first keyboard;

determining, at the computing device, a first probability score indicative of a likelihood that the first string of characters is appropriate in the first language;

determining, at the computing device, a second string of characters based on the input and a second keyboard when the first probability score is less than a first threshold indicative of an appropriate level of confidence for the first string of characters, wherein the second keyboard is associated with a second language;

determining, at the computing device, a second probability score indicative of a likelihood that the second string of characters is appropriate in the second language; and

generating, at the computing device, an output based on the first and second probability scores and the first threshold, the output including at least one of the first and second strings of characters.

2. The computer-implemented method of claim 1, wherein determining the second string of characters includes determining, at the computing device, the second string of characters based on (i) the first string of characters and (ii) a mapping between the first keyboard and the second keyboard.

3. The computer-implemented method of claim 2, wherein the mapping defines a relationship between each character of the first keyboard and each character of the virtual keyboard.

4. The computer-implemented method of claim 2, wherein the first and second keyboards are virtual keyboards, and wherein determining the first and second strings of characters is further based on a spatial input model.

5. The computer-implemented method of claim 1, wherein the first and second probability scores are determined by comparing the first and second strings of characters to first and second dictionaries associated with the first and second languages, respectively.

6. The computer-implemented method of claim 5, wherein the first and second dictionaries are user-specific dictionaries.

7. The computer-implemented method of claim 1, wherein the output includes the first string of characters or the second string of characters.

8. The computer-implemented method of claim 7, wherein the output further includes the first string of characters when the first probability score is greater than or equal to the second probability score, and wherein the output includes the second string of characters when the second probability score is greater than the first threshold.

9. The computer-implemented method of claim 8, wherein the output further includes a suggestion to switch from the first keyboard to the second keyboard when the second probability score is greater than the first threshold.

10. The computer-implemented method of claim 1, wherein the output includes a suggestion to switch from the first keyboard to the second keyboard when the second probability score is greater than the first threshold.

11. The computer-implemented method of claim 1, wherein the output includes automatically switching from the first keyboard to the second keyboard when the second probability score is greater than the first threshold.

12. The computer-implemented method of claim 1, further comprising receiving, at the computing device, a list of preferred or frequently utilized languages, wherein the list of languages includes the first and second languages.

13. A computing device, comprising:

a communication device configured to receive an input via a first keyboard, wherein the first keyboard is associated with a first language; and

one or more processors configured to;

determine a first string of characters based on the input and the first keyboard;

determine a first probability score indicative of a likelihood that the first string of characters is appropriate in the first language;

determine a second string of characters based on the input and a second keyboard when the first probability score is less than a first threshold indicative of an appropriate level of confidence for the first string of characters, wherein the second keyboard is associated with a second language;

determine a second probability score indicative of a likelihood that the second string of characters is appropriate in the second language; and

generate an output based on the first and second probability scores and the first threshold, the output including at least one of the first and second strings of characters.

14. The computing device of claim 13, wherein the one or more processors are configured to determine the second string of characters based on (i) the first string of characters and (ii) a mapping between the first keyboard and the second keyboard.

15. The computing device of claim 14, wherein the mapping defines a relationship between each character of the first keyboard and each character of the second keyboard.

16. The computing device of claim 14, wherein the first and second keyboards are virtual keyboards, and wherein the one or more processors are further configured to determine the first and second strings of characters based on a spatial input model.

17. The computing device of claim 13, wherein the one or more processors are further configured to determine the first and second probability scores by comparing the first and second strings of characters to first and second dictionaries associated with the first and second languages, respectively.

18. The computing device of claim 17, wherein the first and second dictionaries are user-specific dictionaries.

19. The computing device of claim 13, wherein the output includes the first string of characters or the second string of characters.

20. The computing device of claim 19, wherein the output further includes the first string of characters when the first probability score is greater than or equal to the second probability score, and wherein the output includes the second string of characters when the second probability score is greater than the first threshold.

21. The computing device of claim 20, wherein the output further includes a suggestion to switch from the first keyboard to the second keyboard when the second probability score is greater than the first threshold.

22. The computing device of claim 13, wherein the output further includes a suggestion to switch from the first keyboard to the second keyboard when the second probability score is greater than the first threshold.

23. The computing device of claim 13, wherein the output includes automatically switching from the first keyboard to the second keyboard when the second probability score is greater than the first threshold.

24. The computing device of claim 13, wherein the one or more processors are further configured to receive a list of preferred or frequently utilized languages, wherein the list of languages includes the first and second languages.