Abstract:
A system provides on a computer display screen, a graphical image of an initial parsing as generated by a computerized algorithm. Individual clauses are encased in expandable containers that a user can shift and resize on the screen using a mouse or other cursor control device to thereby improve the initial parsing.
Abstract:
In some embodiments, a non-transitory processor-readable medium stores code representing instructions that when executed cause a processor to select a narrative content template based at least in part on a predetermined content type associated with a real-world and/or virtual event and to select a narrative tone type. The code further represents instructions that when executed cause the processor to, for each phrase included In an ordered set of phrases associated with the narrative content template, select, based at least in part on the narrative tone type, a phrase variation from a set of phrase variations associated with that phrase, and define, based on the selected phrase variation and at least one datum from a set of data, a narrative content portion associated with the real-world event. The code further represents instructions that when executed cause the processor to output, at a display, the narrative content portion.
Abstract:
A computer-assisted language generation system including sentence retrieval functionality, operative on the basis of an input text containing words, to retrieve from an internet corpus a plurality of sentences containing words which correspond to the words in the input text and sentence generation functionality operative using a plurality of sentences retrieved by the sentence retrieval functionality from the internet corpus to generate at least one correct sentence giving expression to the input text.
Abstract:
Computer implemented methods (100) and computing systems wherein relationships of words or phrases within a textual corpus (201) are assessed (120) via frequencies of occurrence of particular words or phrases and via frequencies of co-occurrence of particular pairs of words or phrases within defined tracts of text from within the textual corpus (201).
Abstract:
A Statechart (300, 400) is generated automatically from a set of goals ( 200) for completion of a data model (100, 102). A set of states (304-312, 404-420) is generated corresponding to completion states of the data model, an initial pseudo-state (302) and a final state (312). Transitions are generated from the initial pseudo-state (302) to an empty state (304) of the set of states and between each state and its subset states. Outgoing transitions are generated from any state that satisfies at least one goal of the set of goals and a transition is generated from that state to the final state 312). The resulting Statechart may be used to manage an interactive dialog to complete a data model (100, 102) having a set of data fields.
Abstract:
An improved method of learning a context of a segment of text input enables facilitated text input on an improved handheld electronic device. In response to a series of inputs, segments and other objects are analyzed to generate a proposed character interpretation of the series of inputs. Responsive to detecting a replacement of a segment of the character interpretation with another segment, a combination object comprising the another segment and a preceding object is stored. In response to another series of inputs, the combination object can be employed by a processing algorithm to ascertain a preference for the another segment in the context of the preceding object of the combination object.
Abstract:
A Statechart (300, 400) is generated automatically from a set of goals ( 200) for completion of a data model (100, 102). A set of states (304-312, 404-420) is generated corresponding to completion states of the data model, an initial pseudo-state (302) and a final state (312). Transitions are generated from the initial pseudo-state (302) to an empty state (304) of the set of states and between each state and its subset states. Outgoing transitions are generated from any state that satisfies at least one goal of the set of goals and a transition is generated from that state to the final state 312). The resulting Statechart may be used to manage an interactive dialog to complete a data model (100, 102) having a set of data fields.
Abstract:
A method for predicting results for input data based on a model that is generated based on clusters of related characters, clusters of related segments, and training data. The method comprises receiving a data set that includes a plurality of words in a particular language. In the particular language, words are formed by characters. Clusters of related characters are formed from the data set. A model is generated based at least on the clusters of related characters and training data. The model may also be based on the clusters of related segments. The training data includes a plurality of entries, wherein each entry includes a character and a designated result for said character. A set of input data that includes characters that have not been associated with designated results is received. The model is applied to the input data to determine predicted results for characters within the input data.
Abstract:
A search engine is disclosed that utilizes natural language processing (NLP) techniques. The search engine utilizes meaning-based natural language processing using ontological semantics in analyzing the meaning of queries and the searched text. This system analyzes Web pages and queries. The NLP method produces equivalent meanings to a sequence of user initiated words, wherein relevance parsing of the original query produces a display of queries/questions as hot links to the next round of searching without additional typing by the user.