Syntax Evaluation Apparatus for Real-Time Translation Accuracy
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Solution Overview
Problem
Simultaneous translation apparatuses face challenges in achieving high translation accuracy while maintaining real-time output, as existing segmentation methods often ignore syntax, leading to incorrect translations due to inappropriate text data segmentation.
Innovation Solution
A syntax evaluation apparatus that includes a grammatical element guessing part and a complementing part to generate second fragment data, ensuring correct syntax analysis and translation by guessing and complementing grammatical elements based on context, thereby improving translation accuracy and reducing standby time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If text data is segmented and translated on a per-phrase basis to reduce output time, then translation speed increases, but translation accuracy decreases due to ignoring context
Solution Approach 1:
The patent applies preliminary action by performing syntax evaluation and grammatical element guessing on segmented text data before translation. The syntax evaluation unit guesses grammatical elements that should be connected before and after each segmented phrase, complementing the segmentation to restore syntactic context. This preliminary syntactic restoration enables subsequent translation to maintain both speed (by working with segmented data) and accuracy (by recovering grammatical context).
Solution Approach 2:
The patent introduces syntax evaluation as an intermediary process between text segmentation and translation. The syntax evaluation unit acts as a mediator that analyzes segmented phrases, guesses missing grammatical elements, and reconstructs syntactic relationships. This intermediary step bridges the gap between fast segmented processing and accurate context-aware translation, allowing the system to maintain high translation accuracy while processing segmented text data efficiently.
2Measurement precision
If translation is initiated upon confirmation of sentence end to increase accuracy, then translation accuracy improves, but output time increases
Solution Approach 1:
The patent applies preliminary action by performing syntax evaluation and grammatical element guessing on segmented text data before translation. The syntax evaluation unit guesses grammatical elements that should be connected before and after each segmented phrase, complementing the segmentation to restore syntactic context. This preliminary syntactic restoration enables subsequent translation to maintain both speed (by working with segmented data) and accuracy (by recovering grammatical context).
Solution Approach 2:
The patent applies segmentation by dividing text data into smaller phrases and processing them individually with syntax evaluation. Instead of waiting for complete sentences, the system segments text into manageable units, performs rapid syntax evaluation on each unit by guessing grammatical elements, and translates them sequentially. This segmentation approach maintains translation accuracy through grammatical element recovery while significantly reducing output time compared to waiting for sentence completion.
3Productivity
If text data is segmented without considering syntax to reduce processing time, then processing speed increases, but translation accuracy deteriorates due to incorrect syntax analysis
Solution Approach 1:
The patent applies preliminary action by performing syntax evaluation and grammatical element guessing on segmented text data before translation. The syntax evaluation unit guesses grammatical elements that should be connected before and after each segmented phrase, complementing the segmentation to restore syntactic context. This preliminary syntactic restoration enables subsequent translation to maintain both speed (by working with segmented data) and accuracy (by recovering grammatical context).
Solution Approach 2:
The patent introduces feedback mechanisms where the syntax evaluation unit continuously guesses grammatical elements based on the segmented text context and refines its predictions. The system evaluates syntax by guessing missing grammatical elements, uses these guesses to complement and correct the segmented structure, and feeds this corrected syntactic information back into the translation process. This feedback loop ensures that even though text is segmented for fast processing, the syntactic accuracy is maintained through iterative grammatical element recovery.
Data Source
AI summary
A translation apparatus that can perform translation based on a correct syntax, a syntax evaluation apparatus employed in the translation apparatus, a syntax evaluation method, and a syntax evaluation program are provided. A syntax evaluation unit 13 includes a grammatical element guessing part 131 that guesses a grammatical element that should be connected before and after or after a word string indicated by first fragment data, and a grammatical element complementing part 132 that complements, based on the guessing result of the grammatical element guessing part 131, the first fragment data as necessary to generate second fragment data. When the grammatical element guessing part 131 guesses a grammatical element, the grammatical element complementing part 132 complements, at a location to which the grammatical element of the word string indicated by the first fragment data should be connected, a tag indicating the grammatical element in order to generate the second fragment data. When the grammatical element guessing part 131 does not guess a grammatical element, the grammatical element complementing part 132 handles the first fragment data as the second fragment data.