This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Google Inc.. Active years: 2022-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2024
Title: Isaac Caswell: Inventor in Neural Machine Translation
Introduction
Isaac Caswell is an inventor based in Palo Alto, California, whose patent work focuses on improving the quality of neural machine translation. His inventions address automatic post-editing, a technique for correcting errors in machine-generated translations.
Latest Patents
Caswell’s listed patents include “Automatic post-editing model for generated natural language text” and “Automatic post-editing model for neural machine translation.” Both describe training and using an automatic post-editing model to correct translation errors introduced by neural machine translation systems.
The disclosed approach can generate training examples automatically. A neural machine translation model translates text from a first language into a second language, then translates that output back into the first language. The original text and the resulting back-translation can be used together to train the post-editing model.
Caswell is associated with 2 patents.
Career Highlights
Caswell’s patent work reflects an emphasis on practical methods for improving machine-generated language. By using automatically generated training instances, the described techniques aim to help post-editing models identify and correct translation errors.
Collaborations
Caswell’s listed coworkers include Markus Freitag and Howard Scott Roy. His company affiliation is Google Inc.
Conclusion
Isaac Caswell’s patents focus on automatic post-editing methods that use generated training data to improve neural machine translation, highlighting his contributions to language technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
