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

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


==Organization Name==

[[:Category:BOE TECHNOLOGY GROUP CO., LTD.|BOE TECHNOLOGY GROUP CO., LTD.]]


[[Category:BOE TECHNOLOGY GROUP CO., LTD.]]

==Inventor(s)==

[[:Category:Bingqian Wang of BEIJING (CN)|Bingqian Wang of BEIJING (CN)]][[Category: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.



[[Category:G10L15/06]]
[[Category:G10L15/18]]