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Adam Rubenstein

Researcher at Lyons

Publications -  9
Citations -  500

Adam Rubenstein is an academic researcher from Lyons. The author has contributed to research in topics: Web content & Language translation. The author has an hindex of 4, co-authored 9 publications receiving 500 citations.

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Patent

Dynamic Language Translation of Web Site Content

TL;DR: In this article, a method, system and computer program product for providing translated web content is disclosed, which includes receiving a request from a user on a web site, the web site having a first web content in a first language, wherein the request calls for a second web contents in a second language, and the method further includes dividing the web content into a plurality of translatable components and generating a unique identifier for each translatable component.
Patent

Synchronization of web site content between languages

TL;DR: In this article, a system, method and computer readable medium for synchronizing web content is disclosed, which includes retrieving a first web content in a first language from a web site and matching each of the plurality of translatable components to a plurality of translated components of the second web content.
Patent

Automation tool for web site content language translation

TL;DR: In this paper, a system, method and computer readable medium for providing translated web content is disclosed, which includes retrieving a first content in a first language and parsing the first content into a plurality of translatable components.
Patent

Analyzing web site for translation

TL;DR: In this paper, a system, method and computer readable medium for synchronizing web content is disclosed, which includes retrieving a first web content in a first language from a web site and matching each of the plurality of translatable components to a plurality of translated components of the second web content.
Patent

Uniform Resource Locator (URL) improvement methods

TL;DR: In this paper, the authors proposed a method for improving URLs by dividing the content in the first language into one or more segments of text, and then converting these segments into a format suitable for being used to create an improved URL by modifying the original URL.