Dell Products L.P. (20240281622). Method and System to Provide Content Performance Score simplified abstract

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Method and System to Provide Content Performance Score

Organization Name

Dell Products L.P.

Inventor(s)

Angela Diggin of Dublin (IE)

Anja Holler of Lorrach (DE)

Julie Feytout of Gardonne (FR)

Wei Ge of Beijing (CN)

Rupashree Kalita of Bangalore (IN)

Method and System to Provide Content Performance Score - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240281622 titled 'Method and System to Provide Content Performance Score

Abstract: The methods and system described here determine the performance and provide a content score of translated content from an original source document. The quality and fitness of the original source content are checked, and translatability profile and natural language processing (NLP) profile are provided. The translatability profile and NLP profile are used to determine the level of machine translation to be performed on the original source document. The original source document is then translated into a different language, and the translated content is checked for quality, which is used along with user experience (UX) to provide a content score of the translated content.

  • Simplified Explanation:

- The system evaluates the quality of translated content from an original source document. - It uses translatability and NLP profiles to determine the level of machine translation needed. - The translated content is assessed for quality and user experience to provide a content score.

  • Key Features and Innovation:

- Quality assessment of translated content. - Use of translatability and NLP profiles. - User experience evaluation for content scoring.

  • Potential Applications:

- Language translation services. - Content localization for global audiences. - Quality control in translation processes.

  • Problems Solved:

- Ensures accurate and high-quality translations. - Helps in determining the level of machine translation needed. - Improves user experience with translated content.

  • Benefits:

- Enhanced quality of translated content. - Efficient translation process. - Improved user satisfaction with translated materials.

  • Commercial Applications:

- "Language Translation Quality Assessment System for Global Content Localization" - Potential use in translation agencies, multinational corporations, and online content platforms. - Market implications include improved cross-cultural communication and user engagement.

  • Questions about Language Translation Quality Assessment System:

1. How does the system determine the level of machine translation needed for a specific document? - The system uses translatability and NLP profiles to analyze the complexity of the content and language structure.

2. What are the key factors considered in assessing the quality of translated content? - The system evaluates the accuracy, fluency, and overall user experience of the translated material.


Original Abstract Submitted

described herein are methods and a system for determining performance and providing a content score of translated content from an original source document or content. quality and fitness of the original source content is checked, and translatability profile and natural language processing (nlp) profile is provided. the translatability profile and natural language processing (nlp) profile are used to provide a level of machine translation level to be performed on the original source document. the original source document or content is translated into a different language. the translated content is checked for quality, which is used along with user experience (ux) of the translated content to provide a content score of the translated content.