Text Disambiguation via Cross-Language Translation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for understanding text in a first language are inaccurate due to ambiguous words with multiple meanings, and existing solutions, while improving accuracy, are complex, time-consuming, and expensive, often requiring extensive analysis and storage of statistical data.
Innovation Solution
A method that uses a translation of the text into a second language to disambiguate ambiguous words by identifying corresponding unambiguous words in the second language and assigning their meanings to the ambiguous words in the first language, eliminating the need for extensive offline analysis and large databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If statistical analysis of large text databases is used to determine word meanings, then accuracy of disambiguation is improved, but device complexity and processing time increase significantly
Solution Approach 1:
The patent extracts only the essential information needed for disambiguation by using translated text from a second language, rather than analyzing entire large-scale statistical databases. This extraction approach maintains accuracy while dramatically reducing system complexity and processing requirements.
Solution Approach 2:
The patent introduces a second language translation as an intermediary element to resolve ambiguities in the first language. Instead of directly analyzing complex statistical patterns, the system uses the translated text as a mediator that provides disambiguation information more efficiently.
2Measurement precision
If extensive offline analysis and large databases are used to store statistical data, then disambiguation accuracy is improved, but loss of time and processing power increase
Solution Approach 1:
The patent performs preliminary disambiguation by utilizing already-translated text in a second language, eliminating the need for extensive offline statistical analysis. This preliminary action of using translation results saves significant processing time while maintaining accuracy.
Solution Approach 2:
The patent uses the translated text as a copy or representation of the original text's meaning in another language. This copying approach allows the system to access disambiguation information without re-analyzing the original ambiguous text, reducing processing time.
3Measurement precision
If statistical approaches with large databases are employed, then word meaning determination is improved, but cost and resource requirements increase
Solution Approach 1:
The patent extracts only the necessary disambiguation information from translated text, avoiding the need to store and process entire large-scale statistical databases. This extraction significantly reduces memory requirements while preserving accuracy.
Solution Approach 2:
The patent uses lightweight, easily generated translated text as a disposable resource for disambiguation, replacing expensive and resource-intensive statistical databases. The translated text can be generated on-demand without requiring large permanent storage.
Data Source
AI summary
Devices and methods for determining the content of a first segment of text in a first language, using a second segment of text in a second language. The second segment of text is a translation of the first segment of text.