Automated Translation Quality Quantification System
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Solution Overview
Problem
Current translation processes are inefficient due to the high human effort required for quality assurance, leading to inconsistent results and increased costs, as reviewers struggle to determine the necessary amount of material to evaluate and repeatable quality assessments are challenging.
Innovation Solution
A translation system comprising translation assisting software, quality quantifying software, and resource managing software that automates the translation and quality evaluation processes, using a database to store and analyze documents and quality data, allowing for objective evaluation and resource allocation refinement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human reviewers manually evaluate translation quality by reading and analyzing documents, then translation quality assurance can be achieved, but the process becomes time-consuming and expensive
Solution Approach 1:
The patent replaces the mechanical system of manual human review with an automated computer-based analysis system. The system uses software to perform quality evaluation, error detection, and consistency checking, substituting human cognitive processes with automated computational methods that are faster and more scalable.
Solution Approach 2:
The patent introduces an intermediary automated analysis system between the translator and the final quality assessment. This intermediary system performs preliminary quality checks, identifies potential errors, and provides objective metrics, reducing the burden on human reviewers while maintaining quality standards.
2Reliability
If human reviewers manually evaluate translation quality, then quality assessment can be performed, but inconsistencies arise between different reviewers
Solution Approach 1:
The patent transforms subjective quality evaluation into objective parameter-based assessment. The system defines specific measurable parameters for translation quality (accuracy, consistency, terminology usage) and automatically measures these parameters, replacing subjective human judgment with quantifiable metrics that ensure consistent evaluation across different reviewers.
Solution Approach 2:
The patent applies homogeneous evaluation criteria and standards across all translation assessments. The automated system uses the same rules, metrics, and thresholds for every translation, eliminating the variability that arises when different human reviewers apply their personal judgment standards.
3Reliability
If reviewers analyze the entire document to ensure quality, then comprehensive quality control is achieved, but the process becomes excessively time-consuming
Solution Approach 1:
The patent segments the translation document into distinct units (sentences, paragraphs, or sections) and applies different analysis methods to each segment. The automated system can perform comprehensive quality checks on critical segments while using sampling or simplified checks on less critical portions, maintaining overall quality control while improving efficiency.
Solution Approach 2:
The patent applies partial action by using automated analysis to perform comprehensive quality checks on specific critical elements (terminology consistency, formatting, key terms) while using sampling methods for other portions. This approach achieves sufficient quality control without requiring complete manual review of every document element.
Data Source
AI summary
A system for automating the quality evaluation of a translation. The system may include a computer having a processor and memory device operably connected to one another. A source text in a first language may be stored within the memory device. A target text comprising a translation of the source text into a second language may also be stored within the memory device. Additionally, a plurality of executables may be stored on the memory device and be configured to, when executed by the processor, independently identify a test sample comprising one or more blocks, each comprising a matched set having a source portion selected from the source text and a corresponding target portion selected from the target text.