Patents by Inventor Lalitha Yengaldas

Lalitha Yengaldas 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).

  • Patent number: 11379350
    Abstract: A system and method that improves the efficiency and accuracy of template selection process by applying machine learning to perform natural language processing (NLP) to automatically interpret the intent of the test scenarios and to match the intent of the test scenarios to appropriate test template(s). The system and method can use keyphrases and part-of-speech (POS) tokens to accurately capture the intent of test scenarios and templates. The system and method can additionally use machine learning to perform NLP to identify information from the test scenario(s) that relates to fields in templates to automatically fill in fields in the selected test template(s). In situations where the processing of the test scenario(s) does not provide all of the information necessary to fill every field of a template, the system and method can use machine learning to perform NLP to automatically create and execute a search statement to find the missing information related to empty fields in an application database.
    Type: Grant
    Filed: August 21, 2020
    Date of Patent: July 5, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Chinmaya Ranjan Jena, Lalitha Yengaldas, Sunder Ranganathan Nochilur
  • Publication number: 20220058114
    Abstract: A system and method that improves the efficiency and accuracy of template selection process by applying machine learning to perform natural language processing (NLP) to automatically interpret the intent of the test scenarios and to match the intent of the test scenarios to appropriate test template(s). The system and method can use keyphrases and part-of-speech (POS) tokens to accurately capture the intent of test scenarios and templates. The system and method can additionally use machine learning to perform NLP to identify information from the test scenario(s) that relates to fields in templates to automatically fill in fields in the selected test template(s). In situations where the processing of the test scenario(s) does not provide all of the information necessary to fill every field of a template, the system and method can use machine learning to perform NLP to automatically create and execute a search statement to find the missing information related to empty fields in an application database.
    Type: Application
    Filed: August 21, 2020
    Publication date: February 24, 2022
    Inventors: Chinmaya Ranjan Jena, Lalitha Yengaldas, Sunder Ranganathan Nochilur