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Rajesh A Balchandran

from Verona, WI
Age ~53
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Also known as:
Raj Balchandran, Rajesh N
Phone and address:
954 Edenberry Dr, Madison, WI 53593
Related to:
Thiagarajan BalachandranSavitri BalachandranSwaminath Rajagopalan, 58
Connected to:
Iskra G Balchev, 71Edward J Balchick, 88Elmer P Balchick, 94Adam T Balchik, 39Cynthia A Balchikonis, 45Caitlin M Balchunas, 39Lillian J Balchus, 76Mindaugas A Balciauskas, 88Nerca M Balcioglu, 42Arnel A Balcita, 57

Rajesh Balchandran Phones & Addresses

  • 954 Edenberry Dr, Verona, WI 53593
  • 180 N Route 303 #2, Congers, NY 10920 (845) 268-5258
  • 180 Route 303, Congers, NY 10920 (845) 268-4230 (845) 268-5258
  • 158 Nob Hill Dr, Elmsford, NY 10523 (914) 347-0222
  • Somerset, NJ

Work

Company: Customer analytics, india Jan 2011 Address: Chennai, India Position: Chief operating officer

Education

Degree: Ph.D. School / High School: Rutgers University 1995 to 2000 Specialities: Electrical and Computer Engineering

Industries

Information Technology and Services

Resumes

Resumes

Rajesh Balchandran Photo 1

Chief Operating Officer

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Position:
Chief Operating Officer at Customer Analytics, India
Location:
Chennai, Tamil Nadu, India
Industry:
Information Technology and Services
Work:
Customer Analytics, India - Chennai, India since Jan 2011
Chief Operating Officer
IBM T J Watson Research Center Oct 2006 - Dec 2010
Research Staff Member
IBM Software Group Nov 2000 - Sep 2006
Sr. Software Engineer
Education:
Rutgers University 1995 - 2000
Ph.D., Electrical and Computer Engineering VESIT

Publications

Us Patents

Method, System, And Apparatus For Natural Language Mixed-Initiative Dialogue Processing

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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.

Relative Delta Computations For Determining The Meaning Of Language Inputs

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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.

Identification And Rejection Of Meaningless Input During Natural Language Classification

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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.

Method And System For Automatically Building Natural Language Understanding Models

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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.

Method, System, And Apparatus For Natural Language Mixed-Initiative Dialogue Processing

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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.

Relative Delta Computations For Determining The Meaning Of Language Inputs

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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.

Extracting Tokens In A Natural Language Understanding Application

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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.

Information Extraction In A Natural Language Understanding System

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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.
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Rajesh A Balchandran from Verona, WI, age ~53 Get Report