Linda M Boyer

US Patent:

7366666, Apr 29, 2008

Filed:

Oct 1, 2003

Appl. No.:

10/677044

Inventors:

Rajesh Balchandran - Elmsford NY, US
Linda M. Boyer - Ossining NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G10L 15/00
G10L 15/04

US Classification:

704236, 704246, 704251

Abstract:

A method for processing language input can include the step of determining at least two possible meanings for a language input. For each possible meaning, a probability that the possible meaning is a correct interpretation of the language input can be determined. At least one relative data computation can be computed based at least in part upon the probabilities. At least one irregularity within the language input can be detected based upon the relative delta computation. The irregularity can include mumble, ambiguous input, and/or compound input. At least one programmatic action can be performed responsive to the detection of the irregularity.

US Patent:

7386440, Jun 10, 2008

Filed:

Oct 1, 2003

Appl. No.:

10/676524

Inventors:

Rajesh Balchandran - Elmsford NY, US
Linda M. Boyer - Ossining NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/27

US Classification:

704 9, 704257, 704270, 704275

Abstract:

In a natural language, mixed-initiative system, a method of processing user dialogue can include receiving a user input and determining whether the user input specifies an action to be performed or a token of an action. The user input can be selectively routed to an action interpreter or a token interpreter according to the determining step.

US Patent:

7562016, Jul 14, 2009

Filed:

Feb 22, 2008

Appl. No.:

12/035944

Inventors:

Rajesh Balchandran - Elmsford NY, US
Linda M. Boyer - Ossining NY, US

Assignee:

Nuance Communications, Inc. - Burlington MA

International Classification:

G10L 15/14
G10L 15/18

US Classification:

704251, 704257, 704231, 704246

Abstract:

A method for processing language input can include the step of determining at least two possible meanings for a language input. For each possible meaning, a probability that the possible meaning is a correct interpretation of the language input can be determined. At least one relative data computation can be computed based at least in part upon the probabilities. At least one irregularity within the language input can be detected based upon the relative delta computation. The irregularity can include mumble, ambiguous input, and/or compound input. At least one programmatic action can be performed responsive to the detection of the irregularity.

US Patent:

7707027, Apr 27, 2010

Filed:

Apr 13, 2006

Appl. No.:

11/279577

Inventors:

Rajesh Balchandran - Congers NY, US
Linda Boyer - Ossining NY, US

Assignee:

Nuance Communications, Inc. - Burlington MA

International Classification:

G06F 17/27

US Classification:

704 9, 704 1, 704257, 704256, 7042561, 7042562

Abstract:

A method for identifying data that is meaningless and generating a natural language statistical model which can reject meaningless input. The method can include identifying unigrams that are individually meaningless from a set of training data. At least a portion of the unigrams identified as being meaningless can be assigned to a first n-gram class. The method also can include identifying bigrams that are entirely composed of meaningless unigrams and determining whether the identified bigrams are individually meaningless. At least a portion of the bigrams identified as being individually meaningless can be assigned to the first n-gram class.

US Patent:

7835911, Nov 16, 2010

Filed:

Dec 30, 2005

Appl. No.:

11/324057

Inventors:

Rajesh Balchandran - Congers NY, US
Linda M. Boyer - Ossining NY, US

Assignee:

Nuance Communications, Inc. - Burlington MA

International Classification:

G10L 15/00
G10L 15/18
G10L 21/00

US Classification:

704257, 704 9, 704243, 704270, 704275

Abstract:

The invention disclosed herein concerns a system () and method () for building a language model representation of an NLU application. The method can include categorizing an NLU application domain (), classifying a corpus in view of the categorization (), and training at least one language model in view of the classification (). The categorization produces a hierarchical tree of categories, sub-categories and end targets across one or more features for interpreting one or more natural language input requests. During development of an NLU application, a developer assigns sentences of the NLU application to categories, sub-categories or end targets across one or more features for associating each sentence with desire interpretations. A language model builder () iteratively builds multiple language models for this sentence data, and iteratively evaluating them against a test corpus, partitioning the data based on the categorization and rebuilding models, so as to produce an optimal configuration of language models to interpret and respond to language input requests for the NLU application.

US Patent:

7974835, Jul 5, 2011

Filed:

Apr 30, 2008

Appl. No.:

12/112768

Inventors:

Rajesh Balchandran - Congers NY, US
Linda Boyer - Ossining NY, US

Assignee:

Nuance Communications, Inc. - Burlington MA

International Classification:

G06F 17/27

US Classification:

704 9, 704 1, 704 10, 704275, 707706, 707707, 707708

Abstract:

In a natural language, mixed-initiative system, a method of processing user dialogue can include receiving a user input and determining whether the user input specifies an action to be performed or a token of an action. The user input can be selectively routed to an action interpreter or a token interpreter according to the determining step.

US Patent:

8285539, Oct 9, 2012

Filed:

Jun 18, 2007

Appl. No.:

11/764285

Inventors:

Rajesh Balchandran - Congers NY, US
Linda M. Boyer - Ossining NY, US
Gregory Purdy - Hopewell Junction NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/27

US Classification:

704 9, 704 1, 704 10, 704257, 704 3, 709232, 715255, 718100

Abstract:

A method of processing text within a natural language understanding system can include applying a first tokenization technique to a sentence using a statistical tokenization model. A second tokenization technique using a named entity can be applied to the sentence when the first tokenization technique does not extract a needed token according to a class of the sentence. A token determined according to at least one of the tokenization techniques can be output.

US Patent:

8521511, Aug 27, 2013

Filed:

Jun 18, 2007

Appl. No.:

11/764294

Inventors:

Rajesh Balchandran - Congers NY, US
Linda M. Boyer - Ossining NY, US
Gregory Purdy - Hopewell Junction NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/27

US Classification:

704 9

Abstract:

A method of extracting information from text within a natural language understanding system can include processing a text input through at least one statistical model for each of a plurality of features to be extracted from the text input. For each feature, at least one value can be determined, at least in part, using the statistical model associated with the feature. One value for each feature can be combined to create a complex information target. The complex information target can be output.