Company Filing History:
Years Active: 2019
Title: Laura Josephine Kieras: Innovator in Machine Translation Technology
Introduction
Laura Josephine Kieras is a prominent inventor based in Pittsburgh, PA (US). She has made significant contributions to the field of machine translation technology. Her innovative work has led to the development of advanced systems that enhance the efficiency and accuracy of language translation.
Latest Patents
Kieras holds a patent for an "Optimized statistical machine translation system with rapid adaptation capability." This patent encompasses technologies that improve statistical machine translation. The disclosed technologies include extensions to conventional machine translation pipelines, utilizing multiple domain-specific and non-domain-specific dynamic language translation models and language models. Additionally, it features cluster-based language models and large-scale discriminative training. The patent also introduces incremental update technologies for updating machine translation systems in areas such as word alignment, translation modeling, language modeling, and parameter estimation. Furthermore, it describes a mechanism for training and utilizing a runtime machine translation quality classifier, which estimates the quality of machine translations without reference translations.
Career Highlights
Laura Kieras is currently employed at Amazon Technologies, Inc., where she continues to innovate in the field of machine translation. Her work has been instrumental in advancing the capabilities of translation systems, making them more adaptable and efficient.
Collaborations
Throughout her career, Kieras has collaborated with notable colleagues, including Michael Denkowski and Alon Lavie. These collaborations have further enriched her research and development efforts in machine translation technology.
Conclusion
Laura Josephine Kieras is a trailblazer in the realm of machine translation, with her patented technologies paving the way for future advancements in the field. Her contributions are vital to enhancing communication across languages and cultures.