This inventor holds 2 USPTO granted patents. Top assignee: Xerox Corporation. Active years: 2015-2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Sao Paulo, BR (2015)
- São Paulo, BR (2017)
Company Filing History:
Years Active: 2015-2017
Title: Wilker Ferreira Aziz: Innovator in Statistical Machine Translation
Introduction: Wilker Ferreira Aziz is an accomplished inventor based in São Paulo, Brazil. With a focus on advancements in statistical machine translation, he holds two patents that showcase his innovative contributions to the field.
Latest Patents: Aziz's notable inventions include a system and method for dynamic bi-phrases in statistical machine translation. This method involves receiving text in a source language, generating dynamic bi-phrases based on this text, and creating translation hypotheses that are scored using a translation scoring model. His second patent involves sampling and optimization within phrase-based machine translation, utilizing rejection sampling to acquire target language translations efficiently. Both patents highlight his expertise in refining translation processes through advanced methodologies.
Career Highlights: Wilker Ferreira Aziz has made significant impacts in his professional career at Xerox Corporation. His work focuses on innovative solutions in the realm of machine translation, where he has established himself as a key figure in developing more efficient and accurate translation techniques.
Collaborations: Throughout his career, Aziz has collaborated with esteemed colleagues such as Marc Dymetman and Nicola Cancedda. These collaborations have furthered research and development in the field of statistical machine translation, enhancing the capabilities of translation technologies.
Conclusion: Wilker Ferreira Aziz exemplifies the spirit of innovation through his patents in statistical machine translation. With a commitment to enhancing translation methodologies, his contributions are poised to have a lasting impact on the field. As he continues his journey in technological advancement at Xerox Corporation, his work will undoubtedly inspire future innovations in language processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
