Abstract: The present invention provides systems and methods for integrating text prediction from a text prediction engine into a mechanism for searching/filtering/ordering a plurality of items. In one embodiment, the system comprises a text prediction engine configured to receive user text input relating to a sequence of two or more terms, generate a plurality of word predictions for a first term of the sequence of two or more terms and generate at least one word prediction for a second term of the sequence of two or more terms. The text prediction engine is configured to generate a distribution of candidate word predictions for the sequence of two or more terms using the plurality of word predictions for the first term and the at least one word prediction for the second term. The system further comprises a mechanism for filtering/searching/ordering a plurality of items.

Abstract: The present invention relates generally to a system and method for text prediction and, in particular, a system and method for the adaptive weighting of text predictions. The present invention provides a modular language model-based text prediction system for the adaptive weighting of text prediction components and a method for doing so. The system uses category predictions, generated by a timed aggregated perceptron classifier, to weight, using a weighting module, text predictions generated by a text prediction engine comprising at least one predictor.

Abstract: A text prediction engine, a system comprising a text prediction engine, and a method for generating sequence predictions. The text prediction engine, system and method generate a final set of sequence predictions, each with an associated probability value.

Abstract: The present invention relates generally to a system and method for the reordering of text predictions. More particularly, the system and method reorders the text predictions based on modified probability values, wherein the probability values are modified according to the likelihood that a given text prediction will occur in the text inputted by a user.

Abstract: An embodiment is directed to an interface for a small screen device, such as a watch, that enables a user to enter text on the small screen device by touching in the vicinity of characters, rather than aiming for a particular button or the exact location of a character. Embodiments further enable the design of interfaces without the use of buttons for controlling the entry of text on the small screen device.

Abstract: The present invention relates generally to a system and method for text prediction and, in particular, a system and method for the adaptive weighting of text predictions. The present invention provides a modular language model-based text prediction system for the adaptive weighting of text prediction components and a method for doing so. The system uses category predictions, generated by a timed aggregated perceptron classifier, to weight, using a weighting module, text predictions generated by a text prediction engine comprising at least one predictor.

Abstract: The present invention provides a system comprising a user interface configured to receive text input by a user, a text prediction engine comprising a plurality of language models and configured to receive the input text from the user interface and to generate concurrently text predictions using the plurality of language models, and wherein the text prediction engine is further configured to provide text predictions to the user interface for display and user selection. An analogous method and an interface for use with the system and method are also provided.