Natural Language Expression Simplification for Personalized Learning

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Solution Overview

Problem

Current methods for language learning, particularly for English as a second language students, require manual creation of complex sentence exercises, which is time-consuming and lacks personalization and efficiency.

Innovation Solution

A computer-assisted system that processes natural language expressions to simplify them into multiple simplified expression portions, allowing users to compare and learn by generating personalized language exercises based on user-defined characteristics such as expression type, complexity, and vocabulary level, using a decision tree to ensure grammatical accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual creation of complex sentence exercises is used, then grammatical accuracy can be ensured, but time consumption increases and personalization is limited

Engineering Contradiction:

Improvegrammatical accuracyVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service by automatically generating language exercises without requiring manual intervention. The computer-assisted system processes natural language expressions, simplifies them into multiple portions, and creates personalized exercises autonomously, eliminating the time-consuming manual creation process while maintaining grammatical accuracy through algorithmic processing

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual creation process with an automated computer system. The system uses computational methods to parse, simplify, and generate language exercises, substituting human manual work with automated algorithms that can process expressions and create personalized practice materials efficiently

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If manual creation of language exercises is used, then exercise customization is possible, but efficiency decreases and scalability is limited

Engineering Contradiction:

Improveexercise customizationVSAvoidefficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system implements dynamics by allowing flexible customization of exercises based on user-defined characteristics such as expression type, complexity level, and vocabulary range. The automated system adapts its processing to match user requirements, generating dynamic personalized exercises that can be customized without sacrificing efficiency

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent applies parameter changes by adjusting various parameters of language expressions (such as simplification level, expression type, vocabulary level) to create diverse personalized exercises. The system can modify these parameters automatically based on user preferences, enabling extensive customization while maintaining high processing efficiency

Inventive Principle:

Principle #35Parameter changes

3Reliability

If complex sentence exercises are created manually, then educational value can be ensured, but system complexity increases and automation is reduced

Engineering Contradiction:

Improveeducational valueVSAvoidautomation level

Core Design Contradiction:

ReliabilityVSExtent of automation

Solution Approach 1:

The system incorporates feedback mechanisms where users can compare their responses with correct answers and receive immediate feedback. This automated feedback loop ensures educational value by providing accurate guidance while maintaining high automation levels through computer-based processing and evaluation

Inventive Principle:

Principle #23Feedback

4Productivity

If personalized language exercises are generated automatically, then efficiency improves, but ensuring grammatical accuracy becomes more challenging

Engineering Contradiction:

ImproveefficiencyVSAvoidgrammatical accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system applies preliminary action by pre-processing natural language expressions to identify and extract grammatical structures before generating exercises. The automated system analyzes expression types, identifies grammatical patterns, and uses this preliminary analysis to ensure accuracy in generated exercises while maintaining high efficiency

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10635862B2Method of facilitating natural language interactions, a method of simplifying an expression and a system thereof

Publication Date: 2020.04.28 CITY UNIVERSITY OF HONG KONG

AI summary

A method of facilitating natural language interactions, a method of simplifying an expression, a system for facilitating natural language interactions, and a system for simplifying an expression. The method of facilitating natural language interactions includes the steps of: processing a corpus to select a natural language expression from the corpus; simplifying the selected natural language expression into a plurality of simplified expression portions; wherein the plurality of simplified expression portions is representative of the meaning of the selected natural language expression; and presenting the plurality of simplified expression portions to a user so as to receive a user expression from the user for comparison with the selected natural language expression.