This inventor holds 2 USPTO granted patents. Top assignee: Xerox Corporation. Active years: 2013-2014.
Company Filing History:
Years Active: 2013-2014
Title: Innovations by Sara Stymne
Introduction
Sara Stymne is an accomplished inventor based in Linköping, Sweden. She has made significant contributions to the field of statistical machine translation, focusing on the productive generation of compound words. With a total of 2 patents, her work has advanced the capabilities of translation systems.
Latest Patents
Sara's latest patents include a "System and method for productive generation of compound words in statistical machine translation." This invention discloses a method and system for making merging decisions for translations, particularly suited for languages that utilize productive compounding. The method involves outputting decisions on merging pairs of words in a translated text string, utilizing a merging system that may include stored heuristics or a merging model.
Another notable patent is the "Statistical machine translation system and method for translation of text into languages which produce closed compound words." This system translates source text from one language to another by accessing a library of bi-phrases. Each bi-phrase matches a part of the source text and includes respective text fragments from both languages. The system evaluates target hypotheses based on restricted part of speech tags, ultimately outputting the optimal translation.
Career Highlights
Sara Stymne is currently employed at Xerox Corporation, where she continues to innovate in the field of machine translation. Her work has been instrumental in enhancing the efficiency and accuracy of translation systems.
Collaborations
Some of her notable coworkers include Nicola Cancedda and Tamás Gaál, with whom she has collaborated on various projects related to machine translation.
Conclusion
Sara Stymne's contributions to the field of statistical machine translation demonstrate her expertise and commitment to innovation. Her patents reflect a deep understanding of language processing and the complexities involved in translation systems.