Company Filing History:
Years Active: 2012-2013
Title: Yonggang Deng: Innovator in Speech Translation Technologies
Introduction
Yonggang Deng is a prominent inventor based in Yorktown Heights, NY (US). He has made significant contributions to the field of speech translation, holding a total of 2 patents. His work focuses on developing systems and methods that enhance the efficiency and robustness of speech-to-speech translation.
Latest Patents
Yonggang Deng's latest patents include innovative technologies that address the challenges of speech translation. One of his patents is titled "System and method for applying bridging models for robust and efficient speech to speech translation." This invention features a bridge module that connects two components, utilizing a transformation model to improve the translation process. The transformation model is designed to convert an original hypothesis output into a new hypothesis that is more easily translated by the subsequent component.
Another notable patent is "Machine translation in continuous space." This invention outlines a method for training a statistical machine translation model. It involves creating a source word versus target word co-occurrence matrix to define word pairs. The dimensionality of this matrix can be reduced, and the word pairs are mapped as vectors into continuous space. This approach allows for the training of a machine translation parametric model using an acoustic model training method based on these word pair vectors.
Career Highlights
Yonggang Deng is currently employed at International Business Machines Corporation (IBM), where he continues to innovate in the field of machine translation. His work has been instrumental in advancing the capabilities of speech translation technologies.
Collaborations
Throughout his career, Yonggang has collaborated with notable colleagues, including Yuqing Gao and Ruhi Sarikaya. These collaborations have contributed to the development of cutting-edge technologies in speech translation.
Conclusion
Yonggang Deng is a key figure in the realm of speech translation, with a focus on creating efficient and robust systems. His patents reflect his commitment to advancing technology in this vital area. His contributions continue to shape the future of speech translation.
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