Patents by Inventor Jennifer Lauren Moore

Jennifer Lauren Moore has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Using parts-of-speech tagging and named entity recognition for spelling correction
    Patent number: 10762293
    Abstract: Techniques to automatically correct or complete text are disclosed. An entered text and a context data indicating a context in which the entered text is used are received. Examples of context data include additional words and/or a phrase or sentence in which the entered text occurs. A replacement candidate to replace the entered text is determined based on the entered text and the context data.
    Type: Grant
    Filed: December 22, 2010
    Date of Patent: September 1, 2020
    Assignee: APPLE INC.
    Inventors: Brent D. Ramerth, Douglas R. Davidson, Jennifer Lauren Moore
  • Using statistical language models for contextual lookup
    Patent number: 10515147
    Abstract: Using a statistical language model to make information related to a word or other content of interest available is disclosed. An indication that a word or phrase is of interest is received. A contextual meta-information associated with the word or phrase of interest as used in context is used to make information related to the word or phrase of interest available, for example, by forming a more precise query and/or filtering search results based on the contextual meta-information.
    Type: Grant
    Filed: December 22, 2010
    Date of Patent: December 24, 2019
    Assignee: APPLE INC.
    Inventors: Jennifer Lauren Moore, Brent D. Ramerth, Douglas R. Davidson
  • Semantic search using a single-source semantic model
    Patent number: 8775442
    Abstract: Techniques for providing semantic search of a data store are disclosed. A similarity metric of a document comprising the data store to a concept represented in a semantic model derived at least in part from a reference source that includes content not included in the data store is determined. A relevance metric of a search query to the concept is computed. The similarity metric and the relevance metric are used to determine, at least in part, a ranking of the document with respect to the search query.
    Type: Grant
    Filed: May 15, 2012
    Date of Patent: July 8, 2014
    Assignee: Apple Inc.
    Inventors: Jennifer Lauren Moore, Devang K. Naik, Jerome R. Bellegarda, Kevin Bartlett Aitken, Kim E. Silverman
  • SEMANTIC SEARCH USING A SINGLE-SOURCE SEMANTIC MODEL
    Publication number: 20130311487
    Abstract: Techniques for providing semantic search of a data store are disclosed. A similarity metric of a document comprising the data store to a concept represented in a semantic model derived at least in part from a reference source that includes content not included in the data store is determined. A relevance metric of a search query to the concept is computed. The similarity metric and the relevance metric are used to determine, at least in part, a ranking of the document with respect to the search query.
    Type: Application
    Filed: May 15, 2012
    Publication date: November 21, 2013
    Applicant: APPLE INC.
    Inventors: Jennifer Lauren Moore, Devang K. Naik, Jerome R. Bellegarda, Kevin Bartlett Aitken, Kim E. Silverman
  • USING PARTS-OF-SPEECH TAGGING AND NAMED ENTITY RECOGNITION FOR SPELLING CORRECTION
    Publication number: 20120166942
    Abstract: Techniques to automatically correct or complete text are disclosed. An entered text and a context data indicating a context in which the entered text is used are received. Examples of context data include additional words and/or a phrase or sentence in which the entered text occurs. A replacement candidate to replace the entered text is determined based on the entered text and the context data.
    Type: Application
    Filed: December 22, 2010
    Publication date: June 28, 2012
    Applicant: APPLE INC.
    Inventors: Brent D. Ramerth, Douglas R. Davidson, Jennifer Lauren Moore
  • USING STATISTICAL LANGUAGE MODELS FOR CONTEXTUAL LOOKUP
    Publication number: 20120166429
    Abstract: Using a statistical language model to make information related to a word or other content of interest available is disclosed. An indication that a word or phrase is of interest is received. A contextual meta-information associated with the word or phrase of interest as used in context is used to make information related to the word or phrase of interest available, for example, by forming a more precise query and/or filtering search results based on the contextual meta-information.
    Type: Application
    Filed: December 22, 2010
    Publication date: June 28, 2012
    Applicant: APPLE INC.
    Inventors: Jennifer Lauren Moore, Brent D. Ramerth, Douglas R. Davidson