Automated Text Adaptation System for Language Learners

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Solution Overview

Problem

Existing methods for adapting texts for non-native English speakers are laborious and time-consuming, requiring significant effort to accommodate students of varying proficiency levels, often lacking appropriate interpretation due to language barriers and the need for multiple adaptations.

Innovation Solution

An automated text adaptation system that translates and adapts texts into native languages, highlights cognates, provides marginal notes, and uses text-to-speech synthesis, allowing for individualized adjustments based on student proficiency, utilizing machine translation and summarization tools to reduce manual effort.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual text adaptation is performed to accommodate students of varying proficiency levels, then reading skill development and content understanding are improved, but the time and effort required increases significantly

Engineering Contradiction:

Improvetext adaptation qualityVSAvoidtime required for text adaptation

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical process of text adaptation with an automated computer-based system that uses software algorithms to analyze student proficiency levels and generate adapted texts, thereby eliminating the time-consuming manual labor while maintaining adaptation quality

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables teachers to input original texts and student proficiency parameters, and the software automatically generates customized adapted texts without requiring external intervention or manual editing, allowing the system to serve itself in producing the adaptation output

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If multiple adapted texts are created for different proficiency levels, then individualized instruction is improved, but the complexity of the adaptation process increases

Engineering Contradiction:

Improveindividualized text adaptationVSAvoidadaptation process complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal adaptation system that can handle multiple proficiency levels and generate various types of adapted texts using the same core software platform, allowing one system to perform multiple adaptation functions rather than requiring separate processes for each proficiency level

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system dynamically adjusts text characteristics such as vocabulary difficulty, sentence structure, and content complexity based on the input proficiency level parameters, automatically modifying the adaptation process to match student needs without requiring manual reconfiguration

Inventive Principle:

Principle #15Dynamics

3Manufacturing precision

If teachers adapt texts manually to match student proficiency levels, then reading comprehension is improved, but the productivity of instruction decreases

Engineering Contradiction:

Improvetext proficiency matchingVSAvoidinstructional productivity

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary analysis of student proficiency levels and automatically prepares adapted texts in advance of instruction, eliminating the need for teachers to spend instructional time on text adaptation and thereby increasing overall instructional productivity

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS8239762B2Method and system for automatic generation of adapted content to facilitate reading skill development for language learners

Publication Date: 2012.08.07 EDUCATIONAL TESTING SERVICE

AI summary

Systems and methods are provided for adapting a text, for example, for generating a text appropriate for the proficiency level of a language learner, are described. An original text is received and at least one portion of the original text to adapt is identified, where the adapted text will facilitate reader comprehension. An adaptation to be applied to the at least one portion of the original text is determined. The at least one portion of the original text is analyzed based on the adaptation, the adaptation is applied to the at least one portion of the original text, and the adapted text is provided.