Abstract: Systems and methods are presented to respond to a search query that is determined to be a single entity intent search query, i.e., the intent of the requesting computer user is information regarding a single entity. Upon receiving the search query, search results relevant to the query are identified, where each of the search results are scored according to their relevancy to the received search query. An evaluation is made as to whether the search query is a single entity intent search query. Upon determining that the search query has a single entity intent, the obtained search results are truncated to the most relevant search result, and a search results page corresponding to the most relevant search result is generated and returned to the requesting computer user.

Abstract: A processing device may recognize a number of input handwritten strokes, which may represent a mathematical expression, a chemical formula, or other two-dimensional structure. Rewriting rules of a grammar may be applied to the strokes to produce a number of possible recognition results. Each of the possible recognition results has a respective score based on a sum of rewriting rules applied to the strokes to produce respective ones of the possible recognition results. Input may be provided to identify misrecognized strokes and a correct terminal production, or symbol corresponding to the misrecognized strokes. Strokes may be misrecognized for many reasons, including parsing errors, over-grouping or under-grouping of matrices, and improper placement of a recognized terminal production, or symbol, with respect to a root structure. Correction hints may be leveraged for correcting types of errors mentioned above.

Abstract: A natural input system is described for creating and editing complex structures in a typeset application. The natural input system receives a typeset representation of an object and converts the typeset format to generate a standard digital ink representation. The natural input system provides the generated ink representation to a natural input application where can be manipulated by the user with a rich set of correction and editing features provided by the natural input application. Once the end user is satisfied with the recognition result in the natural input application, the natural input system receives the recognition result based on the modified digital ink representation. The natural input system may convert the received recognition result to the typeset application format and provides the modified typeset representation to the typeset application for merging into the document the user is editing.

Abstract: A natural input system is described for creating and editing complex structures in a typeset application. The natural input system receives a typeset representation of an object and converts the typeset format to generate a standard digital ink representation. The natural input system provides the generated ink representation to a natural input application where can be manipulated by the user with a rich set of correction and editing features provided by the natural input application. Once the end user is satisfied with the recognition result in the natural input application, the natural input system receives the recognition result based on the modified digital ink representation. The natural input system may convert the received recognition result to the typeset application format and provides the modified typeset representation to the typeset application for merging into the document the user is editing.

Abstract: A processing device may recognize a number of input handwritten strokes, which may represent a mathematical expression, a chemical formula, or other two-dimensional structure. Rewriting rules of a grammar may be applied to the strokes to produce a number of possible recognition results. Each of the possible recognition results has a respective score based on a sum of rewriting rules applied to the strokes to produce respective ones of the possible recognition results. Input may be provided to identify misrecognized strokes and a correct terminal production, or symbol corresponding to the misrecognized strokes. Strokes may be misrecognized for many reasons, including parsing errors, over-grouping or under-grouping of matrices, and improper placement of a recognized terminal production, or symbol, with respect to a root structure. Correction hints may be leveraged for correcting types of errors mentioned above.