Abstract: Embodiments are configured to provide one or more candidates based in part on an input. In an embodiment, a system includes a prediction engine which can be configured to provide one or more ranked candidates using one or more configurable data sources and/or candidate providers. Each data source can be configured to include a candidate provider to predict and return predicted candidates. The prediction engine can use a predicted candidate to rank and return a ranked candidate to a user interface, process, or other application. In one embodiment, a computing device can include and use a prediction engine which can use a customized ranking component to rank and return ranked candidates based in part on a query type. The customized ranking component can use predicted candidates provided by one or more data sources and/or candidate providers when making a ranking determination.

Abstract: Context-based word prediction is provided. A software application utilizes words contained in an application document to provide context-based word prediction in the same or a related document. The software application creates an application defined data source and populates the data source with words occurring in a document. When the same or a related document is being edited via an input method, for example, typing, speech recognition, electronic handwriting, etc., a prediction engine presents candidate words from the application defined data source that match current text input, and the user may choose from the presented candidate words for automatic population into the document being edited. Information from the application defined data source may be transferred between computing devices, for example, between a mobile computing device and a desktop (non-mobile) computing device.

Abstract: Embodiments are configured to provide one or more candidates based in part on an input. In an embodiment, a system includes a prediction engine which can be configured to provide one or more ranked candidates using one or more configurable data sources and/or candidate providers. Each data source can be configured to include a candidate provider to predict and return predicted candidates. The prediction engine can use a predicted candidate to rank and return a ranked candidate to a user interface, process, or other application. In one embodiment, a computing device can include and use a prediction engine which can use a customized ranking component to rank and return ranked candidates based in part on a query type. The customized ranking component can use predicted candidates provided by one or more data sources and/or candidate providers when making a ranking determination.

Abstract: Context-based word prediction is provided. A software application utilizes words contained in an application document to provide context-based word prediction in the same or a related document. The software application creates an application defined data source and populates the data source with words occurring in a document. When the same or a related document is being edited via an input method, for example, typing, speech recognition, electronic handwriting, etc., a prediction engine presents candidate words from the application defined data source that match current text input, and the user may choose from the presented candidate words for automatic population into the document being edited. Information from the application defined data source may be transferred between computing devices, for example, between a mobile computing device and a desktop (non-mobile) computing device.