Distributed Text Processing System for Mobile Translation
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Solution Overview
Problem
Current machine translation systems fail to accurately convey idiomatic meaning and often produce grammatically incorrect and poorly formatted translations, making them unsuitable for critical documents, while human translators work inefficiently and are limited by the need for conventional desktop interfaces, restricting their mobility and accessibility.
Innovation Solution
A distributed text processing system that divides document translation into sub-tasks, assigns them to multiple devices based on workload and translator expertise, and provides an intuitive interface suitable for mobile devices, allowing for collaborative and efficient human translation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If machine translation is used, then translation speed and cost are improved, but translation quality and accuracy deteriorate
Solution Approach 1:
The patent segments the translation task into multiple fragments and distributes them to multiple human translators working in parallel. This allows the system to maintain high translation quality through human expertise while achieving faster overall translation speed through concurrent processing of multiple segments.
Solution Approach 2:
The patent combines machine translation with human translation capabilities in a hybrid system. Machine translation provides initial translations that can be reviewed and corrected by human translators, merging the speed advantage of machines with the quality advantage of humans to achieve both fast and accurate translation.
2Measurement precision
If human translators work alone on complete documents, then translation quality is improved, but translation speed and cost efficiency deteriorate
Solution Approach 1:
The patent divides complete documents into smaller text fragments that can be assigned to multiple translators simultaneously. This segmentation enables parallel processing while maintaining quality control, as each translator works on manageable segments that can be reviewed and coordinated.
Solution Approach 2:
The patent implements a dynamic task assignment system that monitors translator workload and performance in real-time. The system dynamically assigns new fragments to translators based on current availability and expertise, optimizing both quality and speed through adaptive resource allocation.
3Ease of operation
If conventional desktop interfaces are used, then translation functionality is improved, but translator mobility and accessibility deteriorate
Solution Approach 1:
The patent develops translation software that functions across multiple device types including desktops, laptops, tablets, and smartphones. The universal interface design allows translators to access translation tools and perform work on any device, enabling mobility while maintaining full translation functionality.
Solution Approach 2:
The patent transitions the translation interface from traditional desktop二维 display to mobile-friendly dimensional adaptations suitable for smaller screens and touch interfaces. This dimensional adaptation maintains translation capabilities while enabling portability and access in various locations.
Data Source
AI summary
A system for managing distributed text content processing is provided. The system comprises a processor configured to execute a set of instructions to: acquire data of a first document for processing; parse the data of the first document; generate at least a first original text content fragment and a second original text content fragment based on a result of the parsing; transmit the first original text content fragment to a first processing device; determine a status of processing of the first original text content fragment; determine, based on the status, to transmit the second original text content fragment to either the first processing device or to a second processing device for processing; receive a second processed text content fragment from one of the first or second processing devices; and generate a processed document including the received second processed text content fragment.


