This inventor holds 1 USPTO granted patent. Top assignee: Interactions Corporation. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Innovations of Nicholas Ruiz in Multilingual Natural Language Understanding
Introduction
Nicholas Ruiz is an accomplished inventor based in Berkeley Heights, NJ (US). He has made significant contributions to the field of natural language processing, particularly in multilingual understanding. His innovative approach leverages machine translation to enhance semantic properties across different languages.
Latest Patents
Nicholas Ruiz holds a patent titled "Bootstrapping multilingual natural language understanding via machine translation." This patent focuses on utilizing machine translation to transfer semantic properties, such as intent, from one natural language to another. In the first embodiment, a corpus from a first language is translated into various target languages, allowing for the transfer of corresponding semantic properties. In the second embodiment, if a query is received in a language without a semantic model, machine translation translates the query into a language with an existing model, enabling the application of semantic properties to the translated query.
Career Highlights
Nicholas Ruiz is currently employed at Interactions Corporation, where he continues to develop innovative solutions in natural language understanding. His work has positioned him as a key figure in advancing the capabilities of machine translation and semantic modeling.
Collaborations
Some of his notable coworkers include John Chen and Srinivas Bangalore, who contribute to the collaborative environment at Interactions Corporation.
Conclusion
Nicholas Ruiz's work in multilingual natural language understanding exemplifies the potential of machine translation in enhancing communication across languages. His innovative patent and contributions to the field highlight the importance of semantic properties in natural language processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
