Predictive Input Using Custom Dictionaries
In one embodiment, a method includes detecting that a first user is entering a text input at an input region of a computing device, wherein the input region includes multiple subregions and each subregion is associated with at least one character of a plurality of characters. The method also includes determining, for each character as the first user enters the text input, a probability that the character is next in the text input. The method further includes determining a size of each subregion based on the determined probability of the character associated with the subregion.
1 . A method comprising:
by a computing device, detecting that a first user is entering a text input at an input region of the computing device, the input region comprising a plurality of subregions, each subregion associated with at least one character of a plurality of characters;
by the computing device, determining, for each character of the plurality of characters as the first user enters the text input, a probability that the character is next in the text input; and
by the computing device, determining a size of each subregion based on the determined probability of the character associated with the subregion.
2 . The method of claim 1 , wherein the determined probability is based on one or more customized dictionaries associated with the first user.
3 . The method of claim 2 , wherein the one or more customized dictionaries are based on input histories associated with the first user.
4 . The method of claim 2 , wherein the one or more customized dictionaries are based on a usage context comprising: an application on the computing device receiving the input term, a second user with whom the first user is communicating, or any combination thereof.
5 . The method of claim 1 , wherein at least one subregion is associated with a plurality of characters, and wherein the character displayed in the at least one subregion associated with a plurality of characters is based on the determined probabilities of each character associated with the at least one subregion.
6 . The method of claim 1 , wherein the input region comprises at least one of a touch-sensitive screen, a touch sensor, a virtual keyboard, an optical sensor, a motion sensor, or any combination thereof.
7 . The method of claim 6 , further comprising, by the computing device, displaying the subregions at the input region based on the determined size.
8 . One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
detect that a first user is entering a text input at an input region of the computing device, the input region comprising a plurality of subregions, each subregion associated with at least one character of a plurality of characters;
determine, for each character of the plurality of characters as the first user enters the text input, a probability that the character is next in the text input; and
determine a size of each subregion based on the determined probability of the character associated with the subregion.
9 . The media of claim 8 , wherein the determined probability is based on one or more customized dictionaries associated with the first user.
10 . The media of claim 9 , wherein the one or more customized dictionaries are based on input histories associated with the first user.
11 . The media of claim 9 , wherein the one or more customized dictionaries are based on a usage context comprising: an application on the computing device receiving the input term, a second user with whom the first user is communicating, or any combination thereof.
12 . The media of claim 8 , wherein at least one subregion is associated with a plurality of characters, and wherein the character displayed in the at least one subregion associated with a plurality of characters is based on the determined probabilities of each character associated with the at least one subregion.
13 . The media of claim 8 , wherein the input region comprises at least one of a touch-sensitive screen, a touch sensor, a virtual keyboard, an optical sensor, a motion sensor, or any combination thereof.
14 . The media of claim 8 , wherein the software is further operable when executed to display the subregions at the input region based on the determined size.
15 . A system comprising:
one or more processors; and
a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:
detect that a first user is entering a text input at an input region of the computing device, the input region comprising a plurality of subregions, each subregion associated with at least one character of a plurality of characters;
determine, for each character of the plurality of characters as the first user enters the text input, a probability that the character is next in the text input; and
determine a size of each subregion based on the determined probability of the character associated with the subregion.
16 . The system of claim 15 , wherein the determined probability is based on one or more customized dictionaries associated with the first user.
17 . The system of claim 16 , wherein the one or more customized dictionaries are based on input histories associated with the first user.
18 . The system of claim 16 , wherein the one or more customized dictionaries are based on a usage context comprising: an application on the computing device receiving the input term, a second user with whom the first user is communicating, or any combination thereof
19 . The system of claim 16 , wherein at least one subregion is associated with a plurality of characters, and wherein the character displayed in the at least one subregion associated with a plurality of characters is based on the determined probabilities of each character associated with the at least one subregion.
20 . The system of claim 15 , wherein the input region comprises at least one of a touch-sensitive screen, a touch sensor, a virtual keyboard, an optical sensor, a motion sensor, or any combination thereof.