Company Filing History:
Years Active: 2017
Title: Lucia Specia: Innovator in Statistical Machine Translation
Introduction
Lucia Specia is a prominent inventor based in Wolverhampton, GB. She has made significant contributions to the field of statistical machine translation, showcasing her expertise through her innovative patent.
Latest Patents
Lucia Specia holds a patent titled "Dynamic bi-phrases for statistical machine translation." This invention discloses a system and method for phrase-based translation. The method involves receiving source language text to be translated into target language text. It generates one or more dynamic bi-phrases based on the source text and the application of various rules, which may be influenced by user descriptions. Each dynamic bi-phrase is associated with a dynamic feature value. For a given sentence of the source text, static bi-phrases are retrieved from a bi-phrase table, with each static bi-phrase linked to one or more values of static features. Additionally, dynamic bi-phrases that cover at least one word of the source text are retrieved, forming a set of active bi-phrases. Translation hypotheses are generated using these active bi-phrases and are scored with a translation scoring model that considers both static and dynamic feature values. Ultimately, a translation is output based on the hypothesis scores.
Career Highlights
Lucia Specia is currently employed at Xerox Corporation, where she continues to advance her research and development in machine translation technologies. Her work has garnered attention for its innovative approach to improving translation accuracy and efficiency.
Collaborations
Lucia has collaborated with notable colleagues in her field, including Marc Dymetman and Wilker Ferreira Aziz. These partnerships have contributed to her success and the advancement of her research.
Conclusion
Lucia Specia is a trailblazer in the realm of statistical machine translation, with her patent reflecting her innovative spirit and dedication to enhancing language processing technologies. Her contributions continue to influence the field and inspire future advancements.