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Brent D Ramerth

age ~39

from Alameda, CA

Brent Ramerth Phones & Addresses

  • Alameda, CA
  • Chandler, AZ
  • Cupertino, CA
  • 121A Fair Oaks St, San Francisco, CA 94110
  • Saint Louis, MO
  • 2460 W Toledo Pl, Chandler, AZ 85224

Work

  • Company:
    Apple computer
    May 2007
  • Position:
    Software engineer

Education

  • Degree:
    MS
  • School / High School:
    University of Arizona
    2007 to 2008
  • Specialities:
    Computational Linguistics

Skills

Natural Language Processing • Python • Objective C • C • Software Engineering • Machine Learning • Os X • C++ • Programming • Bash • Distributed Systems • Ruby on Rails • Linux • Git • Ruby • Java • Algorithms • Subversion • Unix • Perl • Software Design

Languages

English

Industries

Consumer Electronics

Us Patents

  • Using Parts-Of-Speech Tagging And Named Entity Recognition For Spelling Correction

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  • US Patent:
    20120166942, Jun 28, 2012
  • Filed:
    Dec 22, 2010
  • Appl. No.:
    12/976849
  • Inventors:
    Brent D. Ramerth - San Francisco CA, US
    Douglas R. Davidson - Palo Alto CA, US
    Jennifer Lauren Moore - Santa Cruz CA, US
  • Assignee:
    APPLE INC. - Cupertino CA
  • International Classification:
    G06F 17/21
  • US Classification:
    715257
  • 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.
  • Method For Disambiguating Multiple Readings In Language Conversion

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  • US Patent:
    20130041647, Feb 14, 2013
  • Filed:
    Aug 11, 2011
  • Appl. No.:
    13/208222
  • Inventors:
    Brent D. Ramerth - San Francisco CA, US
    Devang K. Naik - San Jose CA, US
    Douglas R. Davidson - Palo Alto CA, US
    Jannes G. A. Dolfing - Daly City CA, US
    Jia Pu - Mountain View CA, US
  • Assignee:
    APPLE INC. - Cupertino CA
  • International Classification:
    G06F 17/28
  • US Classification:
    704 2
  • Abstract:
    Disambiguating multiple readings in language conversion is disclosed, including: receiving an input data to be converted into a set of characters comprising a symbolic representation of the input data in a target symbolic system; and using a language model that distinguishes between a first reading and a second reading of a character of the target symbolic system to determine a probability that the heteronymous character should be used to represent a corresponding portion of the input data.
  • Exemplar Descriptions Of Homophones To Assist Visually Impaired Users

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  • US Patent:
    20130209974, Aug 15, 2013
  • Filed:
    Feb 15, 2012
  • Appl. No.:
    13/397239
  • Inventors:
    Karan Misra - Mountain View CA, US
    Brent Douglas Ramerth - San Francisco CA, US
  • Assignee:
    APPLE INC. - Cupertino CA
  • International Classification:
    G09B 1/00
  • US Classification:
    434167
  • Abstract:
    The disclosed implementations provide systems, methods and computer program products that provide computer accessibility for visually impaired users by audibly presenting exemplary descriptions of homophones. Commonly used characters can be described by using a common multi-character word that includes the character. Rarely used characters can be described using an Ideographic Description Sequence (IDS) that splits characters into individual components. Each component can then be read aloud individually as a description of the homophone character.
  • Using Statistical Language Models For Contextual Lookup

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  • US Patent:
    20120166429, Jun 28, 2012
  • Filed:
    Dec 22, 2010
  • Appl. No.:
    12/976864
  • Inventors:
    Jennifer Lauren Moore - Santa Cruz CA, US
    Brent D. Ramerth - San Francisco CA, US
    Douglas R. Davidson - Palo Alto CA, US
  • Assignee:
    APPLE INC. - Cupertino CA
  • International Classification:
    G06F 17/30
  • US Classification:
    707723, 707722, 707E17014
  • 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.
  • Adversarial Discriminative Neural Language Model Adaptation

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  • US Patent:
    20220229985, Jul 21, 2022
  • Filed:
    Jun 7, 2021
  • Appl. No.:
    17/340990
  • Inventors:
    - Cupertino CA, US
    Giulia PAGALLO - Cupertino CA, US
    Brent D. RAMERTH - San Francisco CA, US
  • International Classification:
    G06F 40/284
    G06N 20/00
    G06N 5/04
    G06N 7/00
  • Abstract:
    Systems and methods for updating a language model are provided. One example method includes, at an electronic device with one or more processors and memory, training a first language model using a training data set comprising user-generated and user-relevant data, and storing a reference version of the first language model including a first overall probability distribution. Based on the reference version of the first language model, a second language model including a second overall probability distribution is updated (i.e., adapted) using the first overall probability distribution as a constraint on the second overall probability distribution.
  • Systems And Methods For Proactively Identifying And Surfacing Relevant Content On An Electronic Device With A Touch-Sensitive Display

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  • US Patent:
    20210306812, Sep 30, 2021
  • Filed:
    Jun 11, 2021
  • Appl. No.:
    17/345737
  • Inventors:
    - Cupertino CA, US
    Patrick L. COFFMAN - San Francisco CA, US
    Richard R. DELLINGER - San Jose CA, US
    Christopher P. FOSS - San Francisco CA, US
    Jason J. GAUCI - Cupertino CA, US
    Aria D. HAGHIGHI - Seattle WA, US
    Cyrus D. IRANI - Palo Alto CA, US
    Bronwyn A. JONES - San Francisco CA, US
    Gaurav KAPOOR - Los Altos CA, US
    Stephen O. LEMAY - Palo Alto CA, US
    Colin C. MORRIS - Sunnyvale CA, US
    Michael R. SIRACUSA - Mountain View CA, US
    Lawrence Y. YANG - Bellevue WA, US
    Brent D. RAMERTH - San Francisco CA, US
    Jerome R. BELLEGARDA - Saratoga CA, US
    Jannes G.A. DOLFING - Washington DC, US
    Giulia P. PAGALLO - Cupertino CA, US
    Xin WANG - San Jose CA, US
    Jun HATORI - Santa Clara CA, US
    Alexandre R. MOHA - Los Altos CA, US
    Kevin D. CLARK - San Francisco CA, US
    Karl Christian KOHLSCHUETTER - Los Gatos CA, US
    Jesper A. ANDERSEN - Portland OR, US
    Hafid ARRAS - Paris, FR
    Alexandre CARLHIAN - Paris, FR
    Thomas DENIAU - Paris, FR
    Mathieu J. MARTEL - Paris, FR
    Sofiane TOUDJI - San Francisco CA, US
  • International Classification:
    H04W 4/029
    G06F 9/451
    H04W 4/50
    G06F 3/0488
    G06F 3/01
    H04W 4/40
  • Abstract:
    Systems and methods for proactively identifying and surfacing relevant content on an electronic device with a touch-sensitive display are disclosed herein. In one aspect, a method includes presenting content in a first application. At least a portion of the content is presented without requiring input from a user. The method further includes receiving a request to open a second application. In response to receiving the request, the second application is presented with an input-receiving field. Before receiving any user input at the input-receiving field, a selectable user interface object is displayed with an indication that the portion of the content was viewed in the first application, allowing the user to paste at least the portion of the content into the input-receiving field. In response to detecting a selection of the selectable user interface object, the portion of the content is pasted into the input-receiving field.
  • Systems And Methods For Proactively Identifying And Surfacing Relevant Content On An Electronic Device With A Touch-Sensitive Display

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  • US Patent:
    20210006943, Jan 7, 2021
  • Filed:
    Sep 23, 2020
  • Appl. No.:
    17/030300
  • Inventors:
    - Cupertino CA, US
    Patrick L. COFFMAN - San Francisco CA, US
    Richard R. DELLINGER - San Jose CA, US
    Christopher P. FOSS - San Francisco CA, US
    Jason J. GAUCI - Cupertino CA, US
    Aria D. HAGHIGHI - Seattle WA, US
    Cyrus D. IRANI - Los Altos CA, US
    Bronwyn A. JONES - London, GB
    Gaurav KAPOOR - Santa Clara CA, US
    Stephen O. LEMAY - San Francisco CA, US
    Colin C. MORRIS - Sunnyvale CA, US
    Michael R. SIRACUSA - Mountain View CA, US
    Lawrence Y. YANG - Bellevue WA, US
    Brent D. RAMERTH - San Francisco CA, US
    Jerome R. BELLEGARDA - Saratoga CA, US
    Jannes G.A. DOLFING - Sunnyvale CA, US
    Giulia P. PAGALLO - Cupertino CA, US
    Xin WANG - San Jose CA, US
    Jun HATORI - San Francisco CA, US
    Alexandre R. MOHA - Los Altos CA, US
    Kevin D. CLARK - San Francisco CA, US
    Karl Christian KOHLSCHUETTER - Monte Sereno CA, US
    Jesper A. ANDERSEN - Portland OR, US
    Hafid ARRAS - Paris, FR
    Alexandre CARLHIAN - Paris, FR
    Thomas DENIAU - Paris, FR
    Mathieu J. MARTEL - Paris, FR
    Sofiane TOUDJI - San Francisco CA, US
  • International Classification:
    H04W 4/029
    G06F 9/451
    H04W 4/50
    G06F 3/0488
    G06F 3/01
    H04W 4/40
  • Abstract:
    Systems and methods for proactively identifying and surfacing relevant content are disclosed herein. An example method includes: detecting, via the touch-sensitive display, a search activation gesture from a user of the electronic device. The method also includes: in response to detecting only the search activation gesture, displaying a search interface on substantially all of the touch-sensitive display, the search interface including: (i) a search entry portion; and (ii) a predictions portion with one or more user interface objects each associated with a respective locally-installed application. Each respective locally-installed application is selected from among a plurality of locally-installed applications for inclusion in the predictions portion based on an application usage history associated with the user of the electronic device.
  • Systems And Methods For Proactively Identifying And Surfacing Relevant Content On An Electronic Device With A Touch-Sensitive Display

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  • US Patent:
    20200304955, Sep 24, 2020
  • Filed:
    Jun 4, 2020
  • Appl. No.:
    16/893098
  • Inventors:
    - Cupertino CA, US
    Patrick L. Coffman - San Francisco CA, US
    Richard R. Dellinger - San Jose CA, US
    Christopher P. Foss - San Francisco CA, US
    Jason J. Gauci - Cupertino CA, US
    Aria D. Haghighi - Seattle WA, US
    Cyrus D. Irani - Los Altos CA, US
    Bronwyn A. Jones - London, GB
    Gaurav Kapoor - Santa Clara CA, US
    Stephen O. Lemay - San Francisco CA, US
    Colin C. Morris - Sunnyvale CA, US
    Michael R. Siracusa - Mountain View CA, US
    Lawrence Y. Yang - Bellevue WA, US
    Brent D. Ramerth - San Francisco CA, US
    Jerome R. Bellegarda - Saratoga CA, US
    Jannes G.A. Dolfing - Sunnyvale CA, US
    Giulia P. Pagallo - Cupertino CA, US
    Xin Wang - San Jose CA, US
    Jun Hatori - San Francisco CA, US
    Alexandre R. Moha - Los Altos CA, US
    Kevin D. Clark - San Francisco CA, US
    Karl Christian Kohlschuetter - Monte Sereno CA, US
    Jesper A. Andersen - Portland OR, US
    Hafid Arras - Paris, FR
    Alexandre Carlhian - Paris, FR
    Thomas Deniau - Paris, FR
    Mathieu J. Martel - Paris, FR
    Sofiane Toudji - San Francisco CA, US
  • International Classification:
    H04W 4/029
    G06F 9/451
    H04W 4/50
    G06F 3/0488
    G06F 3/01
    H04W 4/40
  • Abstract:
    Systems and methods for proactively identifying and surfacing relevant content on an electronic device with a touch-sensitive display are disclosed herein. In one aspect, a method includes presenting content in a first application. At least a portion of the content is presented without requiring input from a user. The method further includes receiving a request to open a second application. In response to receiving the request, the second application is presented with an input-receiving field. Before receiving any user input at the input-receiving field, a selectable user interface object is displayed with an indication that the portion of the content was viewed in the first application, allowing the user to paste at least the portion of the content into the input-receiving field. In response to detecting a selection of the selectable user interface object, the portion of the content is pasted into the input-receiving field.

Resumes

Brent Ramerth Photo 1

Machine Learning Research Manager

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Location:
10945 Northseal Sq, Cupertino, CA 95014
Industry:
Consumer Electronics
Work:
Apple Computer since May 2007
Software Engineer

Washington University 2006 - 2007
Grader
Education:
University of Arizona 2007 - 2008
MS, Computational Linguistics
Washington University in St. Louis 2003 - 2007
BS, Computer Science, Linguistics
Skills:
Natural Language Processing
Python
Objective C
C
Software Engineering
Machine Learning
Os X
C++
Programming
Bash
Distributed Systems
Ruby on Rails
Linux
Git
Ruby
Java
Algorithms
Subversion
Unix
Perl
Software Design
Languages:
English

Googleplus

Brent Ramerth Photo 2

Brent Ramerth

Lived:
San Francisco, CA
Chandler, AZ
Saint Louis, MO
Tucson, AZ
Cupertino, CA
Work:
Apple Inc. - Software Engineer
Education:
Washington University in St. Louis, University of Arizona

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