Michael Lige Welch

US Patent:

6947952, Sep 20, 2005

Filed:

May 11, 2000

Appl. No.:

09/569242

Inventors:

Michael Dean Welch - Irvine CA, US
Hirohisa Yamaguchi - Mission Viejo CA, US

Assignee:

Unisys Corporation - Blue Bell PA

International Classification:

G06F017/30

US Classification:

7071041, 707 8, 707 10, 709203

Abstract:

A method in a computer system executing a client application and an OODBMS and an RDBMS software, which system has a storage medium accessible by the RDBMS software and the OODBMS software being accessible by the client application. The method generates unique object identifiers in a data abstraction layer disposed between the OODBMS and the RDBMS software in response to a parent thread created by the client application. The method includes the steps of creating a child thread that has access to the RDBMS software, which child thread is used exclusively for generating object identifier numbers and for returning the same to the parent thread. A unique object identifier table is created, which is maintained by the child thread. In response to a request by the parent thread for a unique object identifier, the child thread generates a finite number of the unique object identifiers and communicates their values to the parent thread. After this, a recording is made in the table of the fact that a finite number of unique object identifiers have been generated.

US Patent:

7849081, Dec 7, 2010

Filed:

Nov 28, 2007

Appl. No.:

11/946671

Inventors:

Walter Chang - San Jose CA, US
Michael J. Welch - Los Angeles CA, US

Assignee:

Adobe Systems Incorporated - San Jose CA

International Classification:

G06F 17/30

US Classification:

707727, 707794, 715256

Abstract:

A document analyzer receives a collection of text-based terms associated with a document. The document analyzer performs a statistical analysis on the text-based terms to identify a distribution of where the text-based terms appear in the document and relative frequency indicating how often the text-based terms appear in the document. The document analyzer utilizes the distribution and relative frequency information derived from the statistical analysis to rank multiple themes associated with the document. For example, a received listing of multiple themes may not be presented in any useful order, although it can be assumed that the themes in the listing are present in the document. Based on application of distribution and relative frequency information derived from the analysis, the document analyzer can identify which themes are most relevant to the document as a whole and/or which of themes correspond to different portions (e. g. , pages or sections) of the document.

US Patent:

8060506, Nov 15, 2011

Filed:

Nov 2, 2010

Appl. No.:

12/917505

Inventors:

Walter Chang - San Jose CA, US
Michael J. Welch - Los Angeles CA, US

Assignee:

Adobe Systems Incorporated - San Jose CA

International Classification:

G06F 17/30

US Classification:

707729, 707794, 715256

Abstract:

A document analyzer receives a collection of text-based terms associated with a document. The document analyzer performs a statistical analysis on the text-based terms to identify a distribution of where the text-based terms appear in the document and relative frequency indicating how often the text-based terms appear in the document. The document analyzer utilizes the distribution and relative frequency information derived from the statistical analysis to rank multiple themes associated with the document. For example, a received listing of multiple themes may not be presented in any useful order, although it can be assumed that the themes in the listing are present in the document. Based on application of distribution and relative frequency information derived from the analysis, the document analyzer can identify which themes are most relevant to the document as a whole and/or which of themes correspond to different portions (e. g. , pages or sections) of the document.

US Patent:

8090724, Jan 3, 2012

Filed:

Nov 28, 2007

Appl. No.:

11/946637

Inventors:

Michael J. Welch - Los Angeles CA, US
Walter Chang - San Jose CA, US

Assignee:

Adobe Systems Incorporated - San Jose CA

International Classification:

G06F 17/30

US Classification:

707750, 707797, 707917

Abstract:

A term analyzer receives an ordered collection of text-based terms. The ordered collection can contain terms from a document that have been filtered to remove “noise” such as stopwords. The term analyzer analyzes groupings of consecutive text-based terms in the ordered collection to identify occurrences of different combinations of text-based terms in the ordered collection. In addition, the term analyzer maintains frequency information representing the occurrences of the different combinations of text-based terms in the collection. The frequency information can then be used to determine relatively significant keywords and/or keyword phrases in the document. In an example configuration, the term analyzer creates a tree in which a first term in a given grouping of the groupings is defined as a parent node in the tree and a second term in the given grouping is defined as a child node of the parent node in the tree. The method of the analyzer generalizes to create a tree of multi-word terms in which the terms can be efficiently ranked by occurrence.

US Patent:

8316041, Nov 20, 2012

Filed:

Nov 28, 2007

Appl. No.:

11/946680

Inventors:

Walter Chang - San Jose CA, US
Michael J. Welch - Los Angeles CA, US

Assignee:

Adobe Systems Incorporated - San Jose CA

International Classification:

G06F 17/30

US Classification:

707763, 707730, 704 2

Abstract:

A lexical mapper enables efficient text mining via use of lexical identifiers such as numerical identifier values. For example, the lexical mapper receives a collection of text-based strings associated with a document. Based on values of the strings, the lexical mapper maps the text-based strings to a set of lexical identifiers. In lieu of using the character strings, text mining applications process the numerical identifier values to analyze the document.

US Patent:

8423361, Apr 16, 2013

Filed:

Mar 14, 2012

Appl. No.:

13/420398

Inventors:

Walter W. Chang - San Jose CA, US
Michael J. Welch - Los Angeles CA, US

Assignee:

Adobe Systems Incorporated - San Jose CA

International Classification:

G10L 15/26

US Classification:

704235

Abstract:

This specification describes technologies relating to multi core processing for parallel speech-to-text processing. In some implementations, a computer-implemented method is provided that includes the actions of receiving an audio file; analyzing the audio file to identify portions of the audio file as corresponding to one or more audio types; generating a time-ordered classification of the identified portions, the time-ordered classification indicating the one or more audio types and position within the audio file of each portion; generating a queue using the time-ordered classification, the queue including a plurality of jobs where each job includes one or more identifiers of a portion of the audio file classified as belonging to the one or more speech types; distributing the jobs in the queue to a plurality of processors; performing speech-to-text processing on each portion to generate a corresponding text file; and merging the corresponding text files to generate a transcription file.

US Patent:

8447608, May 21, 2013

Filed:

Dec 10, 2008

Appl. No.:

12/332297

Inventors:

Walter W. Chang - San Jose CA, US
Michael J. Welch - Los Angeles CA, US

Assignee:

Adobe Systems Incorporated - San Jose CA

International Classification:

G10L 15/18
G06F 17/27

US Classification:

704257, 704 9

Abstract:

This specification describes technologies relating to generating custom language models for audio content. In some implementations, a computer-implemented method is provided that includes the actions of receiving a collection of source texts; identifying a type from a collection of types for each source text, each source text being associated with a particular type; generating, for each identified type, a type-specific language model using the source texts associated with the respective type; and storing the language models.

US Patent:

8458198, Jun 4, 2013

Filed:

Dec 5, 2011

Appl. No.:

13/310821

Inventors:

Michael J. Welch - Los Angeles CA, US
Walter W. Chang - San Jose CA, US

Assignee:

Adobe Systems Incorporated - San Jose CA

International Classification:

G06F 17/30

US Classification:

707750, 707797, 707917

Abstract:

A term analyzer receives an ordered collection of text-based terms. The term analyzer analyzes groupings of consecutive text-based terms in the ordered collection to identify occurrences of different combinations of text-based terms. In addition, the term analyzer maintains frequency information representing the occurrences of the different combinations of text-based terms in the collection. The frequency information can then be used to determine relatively significant keywords and/or keyword phrases in the document. In an example configuration, the term analyzer creates a tree in which a first term in a given grouping of the groupings is defined as a parent node in the tree and a second term in the given grouping is defined as a child node of the parent node in the tree. The method of the analyzer generalizes to create a tree of multi-word terms in which the terms can be efficiently ranked by occurrence.