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Feature-based autocorrection

A technology for correct spelling, computing equipment, applied in the field of feature-based automatic correction, and can solve problems such as automatic error correction, inability to detect non-spelling or non-grammatical errors, inability to detect, etc.

Inactive Publication Date: 2015-06-17
GOOGLE LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, some auto-correction systems may not detect non-spelling or non-grammatical errors within the text and / or may perform incorrect auto-corrections
Some autocorrection systems may not be able to detect these errors because they perform exact word matches on misspelled dictionary words within the text

Method used

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  • Feature-based autocorrection
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Examples

Experimental program
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Embodiment Construction

[0012] Computing devices (eg, laptops, mobile phones, tablet computers, desktop computers, etc.) may receive input at a presence-sensitive display that outputs a graphical keyboard. In response to receiving the input, the computing device may generate text for display at the presence-sensitive display. Text generated for display by a computing device may include both intentional and unintentional spelling and grammatical errors. In general, techniques of this disclosure may enable a computing device to detect potential misspellings of words within text generated in response to user input and output suggested words that may correct the misspellings included in the user input.

[0013] In some examples, the computing device can correct spelling errors by utilizing several systems (eg, spatial models, language models, etc.), to detect spelling errors, and to determine suggested words. Using these systems, the computing device can determine a probability that a word within the ge...

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PUM

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Abstract

A computing device is described that outputs for display at a presence-sensitive screen, a graphical keyboard having keys. The computing device receives an indication of a selection of one or more of the keys. Based on the selection the computing device determines a character string from which the computing device determines one or more candidate words. Based at least in part on the candidate words and a plurality of features, the computing device determines a spelling probability that the character string represents an incorrect spelling of at least one candidate word. The plurality of features includes a spatial model probability associated with at least one of the candidate words. If the spelling probability satisfies a threshold, the computing device outputs for display the at least one candidate word.

Description

Background technique [0001] Computing devices (eg, mobile phones, tablet computers, etc.) can use presence-sensitive displays to provide a graphical keyboard as part of a graphical user interface for composing text. For example, a presence-sensitive display of a computing device may output a graphic or soft keyboard that allows a user to enter data by tapping (or pointing to) keys displayed at the presence-sensitive display. Graphical keyboards may enable users of computing devices to compose and edit text included in, for example, emails, text messages, documents, and the like. [0002] Some computing devices also include automatic correction systems to detect and correct spelling and grammatical errors in user-entered text. However, some auto-correction systems may fail to detect non-spelling or non-grammatical errors within the text and / or may perform incorrect auto-corrections. Some automatic correction systems may not be able to detect these errors because these systems...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F3/023G06F3/0488
CPCG06F3/0237G06F3/04883G06F3/04886H04L51/063H04L51/02G06F40/232G06F40/242G06F40/253G06F40/279G06F16/245
Inventor 欧阳瑜翟树民
Owner GOOGLE LLC
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