Localization Middleware for Selective API String Replacement
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Solution Overview
Problem
Conventional localization systems require significant time, computing resources, and power consumption for translating textual strings, and they often store localized content in databases, which is inefficient and resource-intensive.
Innovation Solution
A localization middleware that intercepts API server responses and performs string replacement using a configuration file to determine which strings to localize, utilizing a default string as a key for efficient look-up and dynamic value extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional localization systems translate textual strings using traditional methods, then translation accuracy is improved, but computing resources and time consumption increase significantly
Solution Approach 1:
The system performs preliminary extraction of static strings from datasets before the localization process. By identifying and extracting all translatable strings in advance, the system prepares translation memory and configuration files beforehand, reducing the computational burden during actual translation operations and improving overall translation efficiency
Solution Approach 2:
The system creates translation memories by copying and storing previously translated strings and their translations. When the same or similar strings need to be translated again, the system retrieves them from the translation memory instead of performing full translation, significantly reducing computing resources and time consumption while maintaining translation accuracy
2Ease of operation
If localized content is stored in separate databases, then data organization is improved, but storage requirements and system complexity increase
Solution Approach 1:
The system merges the localization functionality into the existing data storage structure by using configuration files that map strings to their translation keys directly within the dataset context. This eliminates the need for separate database systems for localized content, reducing system complexity while maintaining organized data structure through the configuration file approach
Solution Approach 2:
The system introduces configuration files as intermediaries between the raw dataset and the localized output. These configuration files contain string-to-key mappings and translation instructions, serving as a lightweight mediator that organizes localization data without requiring complex database infrastructure, thus simplifying the overall system architecture
3Reliability
If all textual strings are translated, then localization completeness is improved, but computational burden and processing time increase
Solution Approach 1:
The system applies localization selectively to only those strings that are marked for translation in the configuration files. By identifying specific string locations and characteristics that require translation, the system avoids processing entire datasets uniformly, reducing processing time while ensuring all necessary strings are localized with complete coverage
Solution Approach 2:
The system uses configuration files to specify exactly which strings need translation, performing partial action only on necessary elements rather than translating all textual content. This selective approach ensures localization completeness for required strings while minimizing unnecessary processing time spent on strings that don't require translation
Data Source
AI summary
A system and method of a localization middleware. The method includes receiving a request for a particular dataset that is stored in a data store. The particular dataset includes a plurality of textual strings in a first format. The method includes selecting a first configuration file indicating that a first textual string of the plurality of textual strings should be localized and a second textual string of the plurality of textual strings should not be localized. The method includes generating, based on the first configuration file and a string replacement procedure, a localized dataset in a second format by replacing the first textual string of the plurality of textual strings with a previously translated string stored in a library of previously translated strings and abstaining from replacing the second textual string of the plurality of textual strings with another translated string.