Automated Keyword Extraction for Personalized Lexicon Updates
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Solution Overview
Problem
Existing translation systems lack an efficient method to update lexicons in a personalized manner, affecting the accuracy of machine translation.
Innovation Solution
A text processing method and apparatus that extracts target keywords from a text, displays them in a graphical user interface, and imports them into a target lexicon, allowing for personalized and efficient updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a translator manually collects and organizes related materials to update the lexicon, then the lexicon can be updated in a personalized manner, but the process is time-consuming and inefficient
Solution Approach 1:
The system automatically extracts keywords from the text and performs lexicon updates without requiring manual intervention. The translation engine identifies and extracts keywords autonomously, and the lexicon is updated automatically based on extracted keywords, enabling the system to serve itself and eliminating the need for translators to manually collect and organize materials.
Solution Approach 2:
The manual mechanical process of collecting and organizing materials is replaced by an automated computational system. The translation engine uses algorithmic keyword extraction methods to automatically identify and extract keywords from text, substituting the manual mechanical workflow with an automated digital process that is both personalized and efficient.
2Reliability
If the lexicon is updated manually by translators, then accuracy can be maintained, but the productivity and efficiency of the translation process decreases
Solution Approach 1:
The system performs self-updates by automatically extracting keywords and updating the lexicon without manual intervention. This maintains accuracy through systematic extraction while dramatically improving productivity by eliminating the time translators spend on manual lexicon updates.
Solution Approach 2:
The keyword extraction and lexicon update process can be performed continuously and automatically during or after translation operations. This continuous automated process maintains lexicon accuracy while significantly improving overall translation productivity by eliminating interruptions and manual workflow steps.
3Device complexity
If existing translation systems use fixed lexicons, then system complexity is reduced, but the adaptability to personalized translation needs deteriorates
Solution Approach 1:
The lexicon transitions from a static fixed structure to a dynamic automatically updating structure. The system maintains simplicity by using automated keyword extraction algorithms, while gaining adaptability through the ability to dynamically update the lexicon based on extracted keywords from specific translation contexts.
Solution Approach 2:
The system performs preliminary keyword extraction and lexicon updates automatically before translation tasks require personalized terminology. This preliminary automated action prepares the lexicon with relevant keywords, maintaining system simplicity while enabling personalized translation capability when needed.
Data Source
AI summary
A text processing method and apparatus, an electronic device, and a storage medium are provided. The text processing method includes: obtaining a first text to be processed; determining a target keyword based on the first text; displaying a first graphical user interface, displaying the first text in a first display region of the first graphical user interface, and displaying the target keyword in a second display region of the first graphical user interface; and importing the target keyword currently displayed in the second display region into a target lexicon.