Sentence Alignment Estimation for Translation Workload Reduction
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Solution Overview
Problem
Existing translation techniques require significant manual effort and accuracy in specifying correspondences between original and translated sentences, leading to increased workload, especially when the number of sentences differs between documents, and are prone to errors if partial accurate correspondences are not specified.
Innovation Solution
A computer-readable recording medium with a translation supporting program that estimates the position of corresponding translated sentences based on the ratio of original to translated sentences and their positional order, aligns sentences, and outputs correspondences, reducing the workload by automatically aligning and correcting translations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual specification of correspondences between original and translated sentences is performed, then alignment accuracy is improved, but translation workload increases
Solution Approach 1:
The system performs preliminary automatic alignment based on sentence positions and ratios before final verification. By pre-establishing correspondence relationships using positional information, the system reduces the manual work required for detailed alignment while maintaining accuracy through subsequent verification steps.
Solution Approach 2:
The alignment system uses its own positional data and sentence structure information to automatically determine correspondences without requiring external manual input for every sentence pair. The system serves itself by leveraging metadata about sentence positions and document structure to perform initial alignment.
2Reliability
If accurate correspondences between original and translated sentences are specified, then alignment reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The system introduces sentence position information and ratio calculations as intermediary elements that mediate between the original and translated sentences. These intermediaries automatically establish correspondence relationships, reducing the need for manual specification while maintaining reliability through systematic calculation methods.
Solution Approach 2:
The system changes the parameter of correspondence specification from manual text-based matching to automated position-based calculation. By using sentence positions, sentence counts, and ratio parameters, the system transforms the alignment process into a computational task that is both reliable and easier to operate.
3Measurement precision
If partial accurate correspondences are specified as reference, then correspondence estimation is improved, but extra workload is placed on translator
Solution Approach 1:
The system performs partial automatic alignment using only positional information and sentence ratios, which is sufficient for establishing initial correspondences. This partial action approach avoids the need for complete manual verification while still achieving acceptable accuracy for most translation scenarios.
4Device complexity
If one-to-one correspondence is assumed between original and translated sentences, then alignment simplicity is improved, but adaptability deteriorates
Solution Approach 1:
The alignment system transitions from a static one-to-one assumption to a dynamic model that adjusts correspondences based on calculated ratios and positional information. This dynamic approach allows the system to adapt to various sentence structures and translation patterns while maintaining a relatively simple underlying algorithm.
Data Source
AI summary
In a computer for supporting translation work, an acquisition unit retrieves a pair of original document including a plurality of original sentences and translated document including a plurality of translated sentences from a document storage unit. An estimation unit counts the number of original sentences included in the original document and the number of translated sentences included in the translated document, and estimates a position of a translated sentence corresponding to each original sentence in the translated document based on a ratio of the number of original sentences to the number of translated sentences and a positional order of each original sentence in the original document. An alignment unit aligns each original sentence with the translated sentence located at the estimated position, and outputs information indicating the correspondences between the original and translated sentences.