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- Description:
Presage (formerly known as Soothsayer) generates predictions by modelling natural language as a combination of redundant information sources. Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic predictive algorithms.
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 analyses the text already entered and combines the information thus extracted with other information sources to calculate the set of most probable tokens.
A typical presage-based application would display the set of most probable tokens (i.e. a list of suggestions) to the user and automatically enter the desired token after the user selects it. If the list of suggestions does not contain the desired word, the user continues entering text until the correct suggestion is offered or until the user is done entering text.
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- Supported Operating Systems: Agnostic
- Data Formats: Agnostic
- Archive: download here
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