17530640. DYNAMIC LANGUAGE SELECTION OF AN AI VOICE ASSISTANCE SYSTEM simplified abstract (International Business Machines Corporation)

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DYNAMIC LANGUAGE SELECTION OF AN AI VOICE ASSISTANCE SYSTEM

Organization Name

International Business Machines Corporation

Inventor(s)

Tushar Agrawal of West Fargo ND (US)

Jeremy R. Fox of Georgetown TX (US)

Erez Lev Meir Bilgory of Kiryat Tivon (IL)

Sarbajit K. Rakshit of Kolkata (IN)

DYNAMIC LANGUAGE SELECTION OF AN AI VOICE ASSISTANCE SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17530640 titled 'DYNAMIC LANGUAGE SELECTION OF AN AI VOICE ASSISTANCE SYSTEM

Simplified Explanation

The abstract describes a computer-implemented method for a digital virtual assistant (DVA) to receive input spoken in one language and determine if a response in a different language is needed based on the context of the situation. The DVA then selects the appropriate second language and responds to the user's input in a dynamic manner, taking into account the user-DVA interaction context and historical usage of the second language in similar situations.

  • A digital virtual assistant (DVA) receives input spoken in one language by a user.
  • The DVA determines the context of the current situation based on language and the identity of individuals nearby.
  • It determines if the context calls for a response in a different language.
  • If a response in the second language is needed, the DVA determines the appropriate second language based on the context.
  • The DVA responds to the user's input in the first language, incorporating a dynamic selection of the second language.
  • The response is based on the user-DVA interaction context and historical usage of the second language in similar situations.

Potential Applications

  • Multilingual virtual assistants for customer support or language learning.
  • Language translation services for real-time conversations.
  • Personalized language assistance for travelers in foreign countries.

Problems Solved

  • Overcoming language barriers in communication.
  • Providing contextually appropriate responses in different languages.
  • Enhancing user experience by dynamically selecting the most suitable language for interaction.

Benefits

  • Improved communication between individuals speaking different languages.
  • Enhanced user experience with personalized and contextually relevant responses.
  • Increased efficiency in language translation and assistance.


Original Abstract Submitted

The computer-implemented method provides for a digital virtual assistant (DVA) receiving input spoken in a first language by a user. The DVA determines a context of a current situation based on language and identity of individuals within a proximity of the DVA. The DVA determines whether the context of the current situation includes providing a response using a second language. In response to determining the context of the current situation calls for providing the response in the second language, the DVA determines the second language based on the context, and the DVA responds to the input spoken in the first language by the user, such that the response includes a dynamic selection of the second language and is based on an interaction context of the user and the DVA, and reference to a corpus of interaction context usage of the second language in a historically similar situation.

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