Semantic Unit Subtitle Display for Stable Live Translation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing machine simultaneous interpretation technologies display subtitles based on word or phrase granularity, leading to unstable and flickering translations that disrupt user reading experience and increase burden.
Innovation Solution
Divide language sequences into semantic units with semantics and display them one by one, using a trained semantic unit detection model to ensure stable translation results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If subtitles are displayed based on word or phrase granularity, then the translation can be updated in real-time, but the translation results become unstable and flicker
Solution Approach 1:
The patent segments the continuous language stream into discrete semantic units with clear boundaries. Each semantic unit is identified as a complete meaning chunk that can be displayed independently. This segmentation approach allows the system to update subtitles at semantic unit boundaries rather than at every word or phrase, reducing unnecessary updates while maintaining real-time responsiveness. The semantic unit detection model identifies these boundaries by analyzing semantic completeness, ensuring that each subtitle update represents a stable, complete meaning unit.
2Productivity
If subtitles are updated frequently to reflect real-time translation, then the translation progress is shown, but user reading experience is disrupted and burden increases
Solution Approach 1:
The patent implements periodic subtitle updates based on semantic unit completion rather than continuous word-by-word updates. The system waits for each semantic unit to be fully detected and translated before displaying it, creating a rhythmic, periodic update pattern. This periodic action aligned with semantic boundaries provides clear progress indication while avoiding the disruption of frequent, incomplete updates. Users receive complete semantic units at regular intervals, improving readability and reducing cognitive burden.
Data Source
AI summary
A display method, a method of training a semantic unit detection model, an electronic device, and a storage medium, which relate to a field of artificial intelligence technology, in particular to fields of natural language processing and machine translation technologies. The display method includes: acquiring a language sequence to be displayed; dividing the language sequence to be displayed into a plurality of semantic units with semantics; and converting the plurality of semantic units into subtitles for display one by one.


