Uses services provided by the platform in order to implement multiple prediction techniques and improves the prediction speed for words. #Text entry #Entry text #Improve text input #Improve #Text #Entry
Presage (formerly Soothsayer) is an intelligent predictive text entry system. Presage's predictive capabilities are implemented by predictive plugins.
Predictive plugins use services provided by the platform to implement multiple prediction techniques.
A predictive text entry system attempts to improve the ease and speed of textual input by predicting words. Word prediction consists in computing which word tokens or word completions are most likely to be entered next.
The system analyzes the text already entered and combines the information thus extracted with other information sources to calculate the set of most probable tokens.
What's new in Presage 0.9.1:
- Presage 0.9.1 introduces a new offline learning API method. Active predictors in presage are capable of online learning (dynamic learning triggered by context changes - context-awareness enables presage to train predictors on changes in context dynamically). This new offline learning method provides a way to instruct presage to learn from a specific body of text, separate from the context. A corresponding ONLINE_LEARNING configuration variable has been added to control whether online machine learning is enabled or disabled for applications that require control over what is learnt. Moreover, learning performance has been improved by a factor of 10 in most scenarios.
- Presage 0.9.1 provides a new Windows Communication Foundation service. Applications can now consume presage's predictive functionality by invoking on the WCF service process rather than directly linking to presage library. The presage WCF service application is automatically started at logon and displays a notification icon in the Windows system tray. The notification icon can be used to shutdown the presage WCF service or to display further information. The presage WCF service can only be consumed by the same user that started the service and that is currently logged on the local system. The service uses the NetNamedPipeBinding binding/transport, "a secure, reliable, optimized binding that is suitable for on-machine communication between WCF applications". The presage predictive service endpoint is exposed at this address: net.pipe://localhost/PresageService/v1/presage The presage Metadata Exchange endpoint is exposed at this address: net.pipe://localhost/PresageService/v1/mex
Presage 0.9.1 / 0.9.2 Beta
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- Mac OS X (PPC & Intel)
- file size:
- 2.7 MB
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