Cloud-Based Mobile Translation Glossary Caching
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Solution Overview
Problem
Mobile translation software on terminals faces limitations in storage capacity, leading to reduced translation accuracy and inefficiency due to the need for repeated translations of identical content, disrupting reading continuity.
Innovation Solution
A cloud-based translation method where a mobile client sends translation requests to a cloud server, which checks if the mobile terminal is logged into a specific account with a preset communication type and has a corresponding word entry in its glossary; if not, it translates and stores the result for future use, improving efficiency by avoiding repeated translations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If translation software is installed on the mobile terminal, then translation can be performed locally, but the storage capacity limitation reduces translation accuracy
Solution Approach 1:
The patent segments the translation system into two parts: a lightweight client application on the mobile terminal that handles user interaction and basic functions, and a comprehensive translation server in the cloud that stores extensive glossaries and performs actual translation. This segmentation allows the mobile device to maintain minimal storage while accessing comprehensive translation resources online.
Solution Approach 2:
The patent transitions from local storage-based translation to cloud-based translation, moving the storage dimension from the mobile device to the cloud infrastructure. This dimensional shift enables unlimited access to translation resources without being constrained by mobile device storage capacity.
2Measurement precision
If online translation server is used, then translation accuracy is improved, but repeated translations of identical content reduce translation efficiency
Solution Approach 1:
The patent implements preliminary action by caching translation results locally on the mobile terminal after first-time cloud translation. When the same text is encountered again, the system checks the local cache first and retrieves the translation immediately if available, avoiding repeated cloud translation requests and improving efficiency.
Solution Approach 2:
The system incorporates feedback mechanisms where translation results and user corrections are sent back to the cloud server. The server learns from user feedback and improves future translations, while also caching frequently translated content for faster retrieval in subsequent requests.
Data Source
AI summary
A cloud-based translation method for a mobile client is provided. The mobile client receives a translation instruction and sends translation request information to a cloud server based on the translation instruction, where the translation request information includes text information and translation type information. The mobile client receives a translation result returned from the cloud server. When the cloud server detects that the mobile terminal logins to an account, and a cloud glossary of the account contains a word entry corresponding to the text information, the cloud server returns the translation result in the cloud glossary. When the cloud server detects that the mobile terminal does not login to the account, or when the cloud server detects that the mobile terminal logins to the account but the cloud glossary does not contain the word entry corresponding to the text information, the cloud server translates the text information.