Check patentability & draft patents in minutes with Patsnap Eureka AI!

Readability analysis method of textbook for teaching Chinses as a second based on deep local feature

A local feature and readability technology, applied in the field of data processing, can solve problems such as slow text classification

Inactive Publication Date: 2018-02-09
BEIJING UNIV OF POSTS & TELECOMM
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of the readability of existing teaching materials for Chinese as a foreign language, the purpose of this invention is to provide a method for analyzing the readability of teaching materials for teaching Chinese as a foreign language based on deep local features, so as to at least solve the problem of slow classification speed of existing texts

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Readability analysis method of textbook for teaching Chinses as a second based on deep local feature
  • Readability analysis method of textbook for teaching Chinses as a second based on deep local feature

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The specific embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present disclosure, but not to limit the present disclosure.

[0034] The invention discloses a readability analysis method for foreign Chinese textbooks based on deep local features. The method integrates text information into a deep learning network classification model on the basis of the original text readability classification. The feature-based model for the readability classification of foreign Chinese materials can classify the readability of the text to be classified, so that fast and accurate classification results can be obtained in the follow-up.

[0035] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0036] figure 1 It is a schemati...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses a readability analysis method for textbook for teaching Chinses as a second based on deep local feature. The method comprises the following steps: a word vectorization step of input text; a convolution neural network text features extraction step; a bidirectional long short-term memory network text vectorization generation step; and a text classification step. By using the method disclosed by the embodiment of the invention, the readability of the textbook for teaching Chinses as a second can be reliably classified, the classification speed and the accuracy rate are improved, and the method has great practical value.

Description

technical field [0001] The invention relates to the field of data processing, in particular, to a method for text readability analysis. Background technique [0002] With the rapid development of China, many foreigners have begun to learn Chinese, so foreign Chinese textbooks have become an indispensable part. At present, the readability evaluation of Chinese textbooks for foreigners is mostly based on manual classification of the text. [0003] The readability of text generally indicates the level of comprehension at which it is read. The readability assessment of Chinese as a foreign language textbook can help Chinese learners find reading materials that are suitable for them. The current text readability classification mostly relies on manual work, and cannot quickly and massively classify texts. In order to solve the problem, the present invention introduces the neural network model into the readability evaluation task for the first time, and adopts the convolutional ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27G06N3/04
CPCG06F16/35G06F40/289G06N3/045
Inventor 李思赵建博刘昊柏晓鹏
Owner BEIJING UNIV OF POSTS & TELECOMM
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com