Airbnb, inc. (20240296297). SELECTIVE PRE-TRANSLATION OF WEB CONTENT simplified abstract

From WikiPatents
Jump to navigation Jump to search

SELECTIVE PRE-TRANSLATION OF WEB CONTENT

Organization Name

airbnb, inc.

Inventor(s)

Salvatore Giammarresi of San Francisco CA (US)

Sergio Pelino of San Francisco CA (US)

Hua Zheng of San Francisco CA (US)

Theresa Koo of San Francisco CA (US)

SELECTIVE PRE-TRANSLATION OF WEB CONTENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240296297 titled 'SELECTIVE PRE-TRANSLATION OF WEB CONTENT

Simplified Explanation

A server translates content from one language to another based on user preferences and stores the translated version for future use.

  • The server receives a request from a client device in a different language.
  • It determines that the content needs to be translated.
  • The server obtains a machine-translated version of the content in the requested language.
  • The translated content is stored for future requests in the same language.

Key Features and Innovation

  • Language translation based on user preferences.
  • Storage of machine-translated content for future use.
  • Seamless viewing of content in different languages.

Potential Applications

This technology can be used in:

  • Multilingual websites.
  • E-commerce platforms catering to international customers.
  • Language learning applications.

Problems Solved

  • Overcoming language barriers for users.
  • Providing a personalized viewing experience.
  • Efficiently managing multilingual content.

Benefits

  • Enhanced user experience.
  • Increased accessibility to information.
  • Improved communication across language differences.

Commercial Applications

Title: Language Translation Technology for Enhanced User Experience This technology can be utilized in various commercial sectors such as:

  • Online education platforms.
  • Global news websites.
  • International business communication tools.

Prior Art

Readers can explore prior art related to language translation technologies, machine learning algorithms, and content localization strategies.

Frequently Updated Research

Stay updated on advancements in machine translation, natural language processing, and user-centric content delivery systems.

Questions about Language Translation Technology

How does this technology impact user engagement on websites?

This technology enhances user engagement by providing content in the user's preferred language, leading to a more personalized experience.

What are the potential challenges in implementing this technology on a large scale?

Implementing this technology on a large scale may face challenges such as accuracy of translations, scalability of the system, and user data privacy concerns.


Original Abstract Submitted

a server obtains content in a first language and receives a first request from a first client device to view the content, wherein the first client device is associated with a second language selected by a user operating the first client device. in response to receiving the first request, the server determines that the first language is different from the second language and determines that a storage of the server does not include a machine-translated version of the content in the second language. in accordance with these determinations, the server obtains a machine-translated version of the content in the second language and stores the machine-translated version of the content in the second language in the storage for subsequent requests to view the content in the second language.