17982963. SYSTEM AND METOHD OF PERFORMING DATA TRAINING ON MORPHEME PROCESSING RULES simplified abstract (Hyundai Motor Company)

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SYSTEM AND METOHD OF PERFORMING DATA TRAINING ON MORPHEME PROCESSING RULES

Organization Name

Hyundai Motor Company

Inventor(s)

Kyuyeol Han of Yongin-si (KR)

Cheongjae Lee of Suwon-si (KR)

Junseok Kim of Seongnam-si (KR)

Yo-Sub Han of Seoul (KR)

Hyunjoon Cheon of Incheon (KR)

Joonghyuk Hahn of Seoul (KR)

SYSTEM AND METOHD OF PERFORMING DATA TRAINING ON MORPHEME PROCESSING RULES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17982963 titled 'SYSTEM AND METOHD OF PERFORMING DATA TRAINING ON MORPHEME PROCESSING RULES

Simplified Explanation

The patent application describes a method for processing natural language by compressing multiple languages into a single grammar, reducing the resources and time required for analyzing input sentences. Here are the key points:

  • The method involves generating a grammar by compressing multiple languages that share common elements.
  • The input sentence is separated into units of morphemes (smallest meaningful units) and the grammar of the sentence is recognized.
  • The recognized grammar is used to analyze the meaning of the input sentence.
  • The recognition of grammar involves matching the input sentence with pre-stored grammars, which may include compressed grammars obtained by combining two or more grammars with common elements.

Potential applications of this technology:

  • Natural language processing systems and software
  • Machine translation systems
  • Voice assistants and chatbots
  • Text-to-speech synthesis
  • Sentiment analysis and text mining

Problems solved by this technology:

  • Reduces the resources and time required for recognizing the grammar of an input sentence.
  • Enables efficient analysis of natural language by compressing multiple languages into a single grammar.
  • Improves the accuracy and speed of natural language processing systems.

Benefits of this technology:

  • Faster and more efficient processing of natural language
  • Improved accuracy in analyzing the meaning of sentences
  • Reduced computational resources and time required for grammar recognition
  • Enhanced performance of various natural language processing applications.


Original Abstract Submitted

A method of processing a natural language may include generating a grammar used for analyzing a natural language by compressing a plurality of languages including common elements so that resources and time required for recognizing a grammar of an input sentence may be reduced. The method of processing a natural language may include separating an input sentence in units of morphemes, recognizing a grammar of the input sentence separated in units of morphemes, and analyzing a meaning of the input sentence based on the recognized grammar. The recognizing of the grammar may include recognizing a grammar that matches the input sentence separated in units of morpheme from among a plurality of pre-stored grammars, and the plurality of pre-stored grammars may include at least one grammar obtained by compressing two or more grammars to which at least one element among a plurality of elements constituting a single grammar is common.

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