CSV Data Translation With Selective Non-English Field Processing
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Solution Overview
Problem
Existing data translation processes for CSV format data are inefficient and costly due to the need to translate large volumes of data, often in multiple languages, leading to increased time and expense.
Innovation Solution
A method and system for data translation that segregates and processes CSV format data by identifying the largest character count, parsing for specific keywords, or associating user-selected languages to reduce the amount of data sent to translation engines, thereby optimizing the translation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all data in CSV format is translated to ensure complete information coverage, then translation completeness is improved, but translation cost and processing time increase significantly
Solution Approach 1:
The patent extracts only the necessary data fields for translation by identifying and selecting specific columns that contain non-English text, rather than translating the entire CSV file. This extraction approach maintains translation completeness for relevant information while significantly reducing processing time and cost.
Solution Approach 2:
The patent segments the data translation process into multiple stages: first parsing the CSV to identify non-English fields, then selectively translating only those identified fields. This segmentation allows the system to process only essential data portions, reducing overall translation time while maintaining completeness for meaningful content.
2Reliability
If all data in CSV format is translated to ensure complete information coverage, then translation completeness is improved, but translation cost increases significantly
Solution Approach 1:
The patent extracts only the necessary data fields for translation by identifying and selecting specific columns that contain non-English text, rather than translating the entire CSV file. This extraction approach maintains translation completeness for relevant information while significantly reducing processing time and cost.
Solution Approach 2:
The patent applies local quality by translating only the specific portions of data that require translation (non-English fields) while leaving English fields unchanged. This selective translation approach reduces the quantity of data submitted to translation engines, lowering costs while maintaining completeness for multilingual content.
3Measurement precision
If data is processed row by row individually, then translation accuracy is improved, but processing speed decreases due to throttling
Solution Approach 1:
The patent merges multiple individual row translations into a single batch translation request. By collecting all non-English fields from the CSV file and submitting them as one translation job, the system achieves translation accuracy through comprehensive processing while eliminating throttling limitations that affect individual row processing speed.
Data Source
AI summary
The present disclosure provides a method for processing data and service system thereof. The present disclosure comprises a steps for receiving a plurality of data from one or more users, wherein the plurality of data includes text in a source language. The present disclosure further comprises steps for storing the plurality of data in a delimited format, wherein the plurality of data is arranged in one or more rows and one or more columns based on the plurality of information associated with one or more users, wherein the data in the one or more rows and the one or more columns are stored in the form of one or more cells comprising one or more characters. The present disclosure further comprises steps for identifying the cell with largest character count from the one or more rows and selecting the row corresponding to the identified cell. The present disclosure further comprises steps for determining if the source language of the selected row is a non-English text; and in response to determining that the selected row is a non-English text, transmitting the selected row to a data translation engine for conversion from source language to target language.