Self-adaptive new word labeling system and method based on vocabulary text difficulty

An adaptive, text-based technology, applied in natural language data processing, instrumentation, electronic digital data processing, etc., can solve problems such as reducing the reader's reading experience, increasing distractions, etc., to achieve good annotation effects, avoid subjective influence, The effect of perfect theoretical foundation

Active Publication Date: 2021-06-11
BEIJING FORESTRY UNIVERSITY +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This will degrade the reader's reading experience and increase distracting points of focus

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
  • Self-adaptive new word labeling system and method based on vocabulary text difficulty
  • Self-adaptive new word labeling system and method based on vocabulary text difficulty
  • Self-adaptive new word labeling system and method based on vocabulary text difficulty

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0049] According to the embodiment of the present invention, propose a kind of self-adaptive new word labeling method and system based on vocabulary text difficulty, the present invention also includes: the stage that the learner is in and the English word lexicon Lex that has mastered or should master, the Thesaurus will be used as the basis for judging new word screening and labeling; the English-Chinese dictionary Dict(w), which corresponds the E...

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 invention provides a self-adaptive new word labeling method and system based on vocabulary text difficulty, and the method comprises the following steps: 1, carrying out the evaluation of the text vocabulary difficulty, and calculating the n-times alpha probability quantile of a vocabulary w in a text text containing N words; 2, performing word list comparison, determining out-of-outline vocabularies which are not in the word library Lex in the text text, sorting the vocabularies according to difficulty, and storing the sorted vocabularies; 3, labeling new words, calculating an accumulated vocabulary quantity based on a vocabulary text difficulty vocabulary list, and labeling the new words exceeding difficulty requirements; and 4, performing text difficulty evaluation, and giving text difficulty prompt information. According to the method, automatic labeling of the reading text new words can be automatically realized according to the learning stage of the learner, the specific word use condition of the text and the real level of the learner.

Description

technical field [0001] The invention belongs to the field of computer interaction and computer English learning, and in particular relates to a new word labeling system and method based on vocabulary text difficulty. Background technique [0002] Reading is the main way for students to improve their language ability, and new words are the main obstacle and improvement direction for students to read. Appropriate marking of new words can effectively reduce the difficulty of learning and increase students' vocabulary accumulation. For this reason, the present invention will provide a set of system and method for labeling new words in English reading texts. [0003] At present, vocabulary annotation for students' English reading is either done manually by English teachers and editors, or automatically done by a computer by setting up a thesaurus. The accuracy of manual labeling depends greatly on the ability of the labelers to grasp the abilities of students of different level...

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): G06F40/143G06F40/194
CPCG06F40/143G06F40/194Y02D10/00
Inventor 蒋东辰蒋翱远陈轶阳康鑫隗艳萍孙艳
Owner BEIJING FORESTRY UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products