This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2017-2020.
Location History:
- Bellevue, WA (US) (2017 - 2019)
- Renton, WA (US) (2020)
Company Filing History:
Years Active: 2017-2020
Title: Innovations by Dong Kwon Joo
Introduction
Dong Kwon Joo is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of machine translation, holding a total of 3 patents. His work focuses on improving the efficiency and accuracy of translation systems.
Latest Patents
One of his latest patents is titled "Machine translation locking using sequence-based lock/unlock classification." This invention involves receiving a software input string, which is then tokenized into a sequence of tokens. A trained sequence-dependent lock/unlock classifier is applied to classify each token as either locked or unlocked for subsequent translation. The result is a converted string that replaces locked tokens in the machine translation result, ensuring accurate translations.
Another notable patent is the "Translation bug prediction classifier." This innovation allows a translation system to utilize a translation bug prediction model to identify potential translation errors in user interface text strings. By associating an attention flag with identified error sources, the system can execute automatic translations to create accurate translation targets.
Career Highlights
Dong Kwon Joo is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in the realm of machine translation. His expertise and contributions have positioned him as a key player in the field.
Collaborations
He has collaborated with talented coworkers, including Li Tian and Fernando De La Garza Martínez, to further enhance the capabilities of translation technologies.
Conclusion
Dong Kwon Joo's work in machine translation exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to improving translation accuracy and efficiency, making significant strides in the field.
