17933990. MULTI-LINGUAL NATURAL LANGUAGE QUERY simplified abstract (International Business Machines Corporation)

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MULTI-LINGUAL NATURAL LANGUAGE QUERY

Organization Name

International Business Machines Corporation

Inventor(s)

Tarun Tater of Mundwa (IN)

Jaydeep Sen of Bangalore (IN)

MULTI-LINGUAL NATURAL LANGUAGE QUERY - A simplified explanation of the abstract

This abstract first appeared for US patent application 17933990 titled 'MULTI-LINGUAL NATURAL LANGUAGE QUERY

Simplified Explanation

The patent application describes a system and method for facilitating multi-lingual query interpretation using language invariant signals.

  • The system includes an annotation component that generates language invariant signals, an interpretation component that generates a complete query intent using the signals, and a translation component that processes the query intent into an executable backend query for multi-lingual interpretation.
  • The translation component is connected with the interpretation component to enable zero-shot transfer of the language invariant signals.

Potential Applications

This technology could be applied in multilingual search engines, customer support systems, and language translation services.

Problems Solved

This technology solves the problem of accurately interpreting queries in multiple languages and generating relevant search results or responses.

Benefits

The benefits of this technology include improved user experience, increased accuracy in query interpretation, and enhanced efficiency in multi-lingual communication.

Potential Commercial Applications

Potential commercial applications of this technology include multilingual search engines, e-commerce platforms, and global customer support services.

Possible Prior Art

One possible prior art could be the use of machine translation systems in multilingual search engines or language processing applications.

Unanswered Questions

How does the system handle ambiguous queries in different languages?

The system may use contextual information or user history to disambiguate queries and provide accurate results.

Can the system adapt to new languages or dialects?

The system may be trained on new language data to adapt to new languages or dialects for improved query interpretation.


Original Abstract Submitted

One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to facilitate multi-lingual query interpretation. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an annotation component that generates one or more language invariant signals, an interpretation component that generates a complete query intent using the one or more language invariant signals, and a translation component that processes the complete query intent to an executable backend query to facilitate multi-lingual query interpretation. In one or more embodiments, the translation component can be operatively connected with the interpretation component to generate a zero-shot transfer of the one or more language invariant signals.