17932681. TRANSLATING WEB CONTENT USING ACCESSIBILITY INFORMATION simplified abstract (International Business Machines Corporation)
Contents
- 1 TRANSLATING WEB CONTENT USING ACCESSIBILITY INFORMATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TRANSLATING WEB CONTENT USING ACCESSIBILITY INFORMATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
TRANSLATING WEB CONTENT USING ACCESSIBILITY INFORMATION
Organization Name
International Business Machines Corporation
Inventor(s)
CHIH-YUAN Lin of New Taipei City (TW)
Shu-Chih Chen of New Taipei City (TW)
PEI-YI Lin of New Taipei City (TW)
Chao Yuan Huang of Taipei (TW)
TRANSLATING WEB CONTENT USING ACCESSIBILITY INFORMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17932681 titled 'TRANSLATING WEB CONTENT USING ACCESSIBILITY INFORMATION
Simplified Explanation
Translating applications to a target language involves extracting program integrated information (PII) for translation and creating translation context datasets based on accessibility information associated with specific PII strings. Translation pairs consist of PII and corresponding context datasets for context-based translation of application components. A two-stage index is used, with PII strings for the first stage lookup and context datasets for distinguishing duplicate PII strings as a second stage lookup. Real-time translation is enabled by the two-stage index, established by translation pairs and resulting translations.
- Program integrated information (PII) extraction for translation
- Creation of translation context datasets based on accessibility information
- Translation pairs for context-based translation of application components
- Two-stage index for efficient lookup and duplicate PII string distinction
- Real-time translation facilitated by the two-stage index
Potential Applications
The technology described in this patent application could be applied in various fields such as software localization, language translation services, and cross-border communication platforms.
Problems Solved
This technology solves the problem of efficiently translating applications to different languages while maintaining the context and accuracy of the original content. It also addresses the issue of identifying and handling duplicate PII strings during the translation process.
Benefits
The benefits of this technology include improved accuracy in translation, faster real-time translation capabilities, and enhanced localization of applications for global audiences. It also helps in maintaining data privacy and security by handling PII strings effectively.
Potential Commercial Applications
A potential commercial application of this technology could be in the development of language translation software for businesses operating in multiple countries. It could also be utilized by online platforms offering multilingual services to their users.
Possible Prior Art
One possible prior art in this field could be the use of machine learning algorithms for language translation and localization. Another could be the development of databases for storing and managing translation context information.
Unanswered Questions
How does this technology handle complex PII strings during translation?
The patent abstract does not provide specific details on how the technology deals with complex PII strings that may contain sensitive information. Further information on data encryption and security measures would be beneficial.
What is the scalability of this technology for large-scale applications?
The abstract does not mention the scalability of the technology for handling a high volume of translation requests or large applications. Understanding the system's capacity and performance under heavy loads would be essential for practical implementation.
Original Abstract Submitted
Translating applications to a target language includes extracting program integrated information (PII) to be translated and creating translation context datasets based on interpretation of accessibility information associated with particular strings of PII. Translation pairs include PII and corresponding context datasets for context-based translation of application components. A two-stage index contains PII strings for first stage lookup and context datasets for distinguishing duplicate PII strings as a second stage lookup. Real-time translation is facilitated by the two-stage index, which is established by translation pairs and resulting translations.
