Abstract:
In some examples, a method includes outputting a graphical keyboard (120) for display and responsive to receiving an indication of a first input (124), determining a new character string that is not included in a language model. The method may include adding the new character string to the language model and associating a likelihood value with the new character string. The method may include, responsive to receiving an indication of a second input, predicting the new character string, and responsive to receiving an indication of a third input that rejects the new character string, decreasing the likelihood value associated with the new character string.
Abstract:
In one example, a method may include outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys, and receiving an indication of a gesture. The method may include determining an alignment score that is based at least in part on a word prefix and an alignment point traversed by the gesture. The method may include determining at least one alternative character that is based at least in part on a misspelling that includes at least a portion of the word prefix. The method may include determining an alternative alignment score based at least in part on the alternative character; and outputting, by the computing device and for display, based at least in part on the alternative alignment score, a candidate word based at least in part on the alternative character.
Abstract:
In one example, a computing device includes at least one processor that is operatively coupled to a presence-sensitive display and a gesture module operable by the at least one processor. The gesture module may be operable by the at least one processor to output, for display at the presence-sensitive display, a graphical keyboard comprising a plurality of keys and receive an indication of a continuous gesture detected at the presence-sensitive display, the continuous gesture to select a group of keys of the plurality of keys. The gesture module may be further operable to determine, in response to receiving the indication of the continuous gesture and based at least in part on the group of keys of the plurality of keys, a candidate phrase comprising a group of candidate words.
Abstract:
A computing device determines, based at least in part on indications of user input, scores for a first set of candidate strings and a second set of candidate strings. Each candidate string from the first set of candidate strings is in a lexicon. Candidate strings from the second set of candidate strings are not necessarily in the lexicon. The computing device determines the scores for the first set of candidate strings based on probabilities of the candidate strings being entered. For each candidate string from the second set of candidate strings, the computing device determines the scores for the candidate string based on probabilities of characters of the candidate string being entered. The computing device selects a candidate string based on the scores for the first and second sets of candidate strings and outputs, for display at the display device, the selected candidate string.
Abstract:
In one example, a method includes outputting, by a computing device and for display, a graphical user interface comprising a first graphical keyboard comprising a first plurality of keys. The method further includes determining, based at least in part on an input context, to output a second graphical keyboard comprising a second plurality of keys, and outputting, for contemporaneous display with the first graphical keyboard, the second graphical keyboard. A character associated with at least one key from the second plurality of keys may be different than each character associated with each key from the first plurality of keys. The method further includes selecting, based at least in part on a first portion of a continuous gesture, a first key from first graphical keyboard, and selecting, based at least in part on a second portion of the continuous gesture, a second key from the second graphical keyboard.
Abstract:
A computing device outputs, for display, a virtual keyboard comprising a plurality of virtual keys. Furthermore, the computing device receives an indication of a first movement of an input object along a spatial path. The computing device determines, based on locations of the virtual keys and locations along the spatial path, a plurality of character strings. In response to determining that the first movement has ceased for at least a threshold amount of time, the computing device outputs, for display, the plurality of character strings. While the character strings are displayed, the computing device receives an indication of a second movement of the input object. The computing device selects, in response to the indication of the second movement, and based at least in part on a direction of the second movement of the input object, a particular character string from the plurality of character strings.
Abstract:
In one example, a computing device includes at least one processor that is operatively coupled to a presence-sensitive display and a gesture module operable by the at least one processor. The gesture module may be operable by the at least one processor to output, for display at the presence-sensitive display, a graphical keyboard comprising a plurality of keys and receive an indication of a continuous gesture detected at the presence-sensitive display, the continuous gesture to select a group of keys of the plurality of keys. The gesture module may be further operable to determine, in response to receiving the indication of the continuous gesture and based at least in part on the group of keys of the plurality of keys, a candidate phrase comprising a group of candidate words.
Abstract:
Embodiments relate to systems for, and methods of, detecting attempted space key activations on a touchscreen. Such systems and methods allow for error-tolerant data input on a touchscreen. The systems and methods may be adaptive and grow progressively more accurate as additional user data is received.
Abstract:
Embodiments relate to systems for, and methods of, detecting attempted space key activations on a touchscreen. Such systems and methods allow for error-tolerant data input on a touchscreen. The systems and methods may be adaptive and grow progressively more accurate as additional user data is received.