18547711. METHOD OF TRAINING NATURAL LANGUAGE PROCESSING MODEL METHOD OF NATURAL LANGUAGE PROCESSING, AND ELECTRONIC DEVICE simplified abstract (BOE TECHNOLOGY GROUP CO., LTD.)

From WikiPatents
Jump to navigation Jump to search

METHOD OF TRAINING NATURAL LANGUAGE PROCESSING MODEL METHOD OF NATURAL LANGUAGE PROCESSING, AND ELECTRONIC DEVICE

Organization Name

BOE TECHNOLOGY GROUP CO., LTD.

Inventor(s)

Bingqian Wang of BEIJING (CN)

METHOD OF TRAINING NATURAL LANGUAGE PROCESSING MODEL METHOD OF NATURAL LANGUAGE PROCESSING, AND ELECTRONIC DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18547711 titled 'METHOD OF TRAINING NATURAL LANGUAGE PROCESSING MODEL METHOD OF NATURAL LANGUAGE PROCESSING, AND ELECTRONIC DEVICE

    • Simplified Explanation:**

The patent application describes a method for training a natural language processing model using corpus data, correcting pinyin data, and performing text transformation.

    • Key Features and Innovation:**
  • Acquiring corpus data for training the natural language processing model.
  • Processing the corpus data using a first model for correcting pinyin data and a second model for text transformation.
  • Training the natural language processing model based on the output information to improve its performance.
    • Potential Applications:**

This technology can be used in various applications such as language translation, speech recognition, and text analysis.

    • Problems Solved:**

This technology addresses the challenges of training natural language processing models accurately and efficiently.

    • Benefits:**
  • Improved accuracy and efficiency in natural language processing tasks.
  • Enhanced performance of language translation and text analysis systems.
    • Commercial Applications:**

The technology can be applied in commercial products such as virtual assistants, language learning apps, and customer service chatbots.

    • Prior Art:**

There may be prior art related to natural language processing models and text transformation techniques.

    • Frequently Updated Research:**

Research on improving natural language processing models and text transformation methods is ongoing in the field.

    • Questions about Natural Language Processing:**

1. How does this method of training a natural language processing model differ from traditional approaches? 2. What are the potential limitations of using pinyin data correction in natural language processing models?


Original Abstract Submitted

The present disclosure relates to a method of training a natural language processing model, a method of natural language processing, and an electronic device. The method of training a natural language processing model includes: acquiring corpus data for training; processing the corpus data by using a natural language processing model to obtain output information, wherein the natural language processing model includes a first model for correcting pinyin data of the corpus data and a second model for performing text transformation on the corrected pinyin data of the corpus data; and training the natural language processing model according to the output information of the natural language processing model to obtain the trained natural language processing model.

Retrieved from "http://wikipatents.org/index.php?title=18547711._METHOD_OF_TRAINING_NATURAL_LANGUAGE_PROCESSING_MODEL_METHOD_OF_NATURAL_LANGUAGE_PROCESSING,_AND_ELECTRONIC_DEVICE_simplified_abstract_(BOE_TECHNOLOGY_GROUP_CO.,_LTD.)&oldid=68861"