Trademark Overview
On Wednesday, June 15, 2022, a trademark application was filed for ROOT TRANSLATION with the United States Patent and Trademark Office. The USPTO has given the ROOT TRANSLATION trademark a serial number of 97458930. The federal status of this trademark filing is ABANDONED - FAILURE TO RESPOND OR LATE RESPONSE as of Saturday, December 16, 2023. This trademark is owned by Root Medical Translation, Inc.. The ROOT TRANSLATION trademark is filed in the Computer & Software Products & Electrical & Scientific Products, Communication Services, and Education & Entertainment Services categories with the following description:
Root Translation is a domain-specific translation platform that combines blended models of machine-learned natural language processing with professional, peer-reviewed glossaries to create high-fidelity translation databases with professional lexicography allowing for personalized localizations. The software platform combines the best efforts of machine learning with human contextual oversight. The inputs and outputs are speech to text, text to text, text to speech, speech to speech. The Root platform is device agnostic for all inputs and outputs
Root Translation is a domain-specific translation platform that combines blended models of machine-learned natural language processing with professional, peer-reviewed glossaries to create high-fidelity translation databases with professional lexicography allowing for personalized localizations. The software platform combines the best efforts of machine learning with human contextual oversight. The inputs and outputs are speech to text, text to text, text to speech, speech to speech. The Root platform is device agnostic for all inputs and outputs
Root Translation is a domain-specific translation platform that combines blended models of machine-learned natural language processing with professional, peer-reviewed glossaries to create high-fidelity translation databases with professional lexicography allowing for personalized localizations. The software platform combines the best efforts of machine learning with human contextual oversight. The inputs and outputs are speech to text, text to text, text to speech, speech to speech. The Root platform is device agnostic for all inputs and outputs