This inventor holds 3 USPTO granted patents. 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: Markus Freitag and Advances in Natural Language Technology.
Introduction
Markus Freitag is an inventor based in Sunnyvale, California, whose patent work focuses on natural language processing and machine translation. He is associated with Google Inc. and has 3 patents.
Latest Patents
One of Freitag’s latest patents, “Automatic Evaluation of Natural Language Text Generated Based on Structured Data,” describes techniques for assessing text produced from structured data. The disclosed approach uses an alignment and language model to evaluate how well generated text corresponds to the source data. Its fluency component can assess grammar and readability, while its semantics component evaluates whether the text accurately reflects the structured information.
Another patent, “Automatic Post-Editing Model for Generated Natural Language Text,” concerns correcting errors introduced by neural machine translation. It describes training an automatic post-editing model with examples generated by translating text from a first language into a second language and then translating it back. The model can use these examples to identify and correct translation errors.
Career Highlights
Freitag’s described patent contributions address two important challenges in language technology: evaluating generated text and improving machine-translated text. These approaches support the development of systems that produce more accurate, fluent, and reliable language.
Collaborations
Freitag’s listed coworkers include Howard Scott Roy and Isaac Caswell. His association with Google Inc. places his work within a company active in developing language technologies.
Conclusion
Markus Freitag’s patents reflect a focus on improving the quality of automatically generated and translated language, particularly through evaluation and post-editing methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
