Communication context based predictive-text suggestion

Abstract

Disclosed herein are representative embodiments of tools and techniques for determining predicted-text suggestions based on communication contexts. According to one exemplary technique, text that recurs in one or more past communications is determined. The one or more past communications being associated with at least one context attribute. Also, a text entry is stored in a text suggestion dictionary. The text entry comprising the text and metadata associating the text with the at least one context attribute. Additionally, using the text suggestion dictionary, at least one predicted-text suggestion that includes the text is determined for a current communication associated with a communication context.

Description

Background technique [0001] As mobile devices have become smaller in size, various user interfaces have been developed for users to enter information. In the past, some traditional input techniques have provided text predictions, relying on pre-installed or static large dictionaries that consume storage resources. Although text prediction has been achieved in the past, these traditional input techniques are limited in part due to static dictionaries. Contents of the invention [0002] Among other innovations described herein, this disclosure presents various exemplary embodiments of tools and techniques for determining and providing communication context-based predictive text suggestions. According to one example technique, text that recurs in one or more past communications associated with at least one context attribute is determined. Likewise, store text entries in the text suggestion dictionary. The stored text entry includes text and metadata associating the text with...

AI Technical Summary

Problems solved by technology

Although text prediction has been implemented in the past, these traditional input techniques are limited in part due to static dictionaries

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