Beijing, China

Chun Gan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):

Title: Innovations by Chun Gan in Neural Machine Translation

Introduction

Chun Gan is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of neural machine translation, particularly in vocabulary generation. His innovative approach has the potential to enhance the performance of translation systems.

Latest Patents

Chun Gan holds a patent for "Vocabulary generation for neural machine translation." This patent involves methods, devices, and computer program products designed to generate a destination vocabulary from a source vocabulary. The process includes determining a group of candidate vocabularies from the source vocabulary based on a corpus, with varying sizes compared to the source vocabulary. The method also involves obtaining marginal scores for these candidate vocabularies, which are based on corpus entropy and vocabulary size. By selecting the destination vocabulary from the group of candidate vocabularies, Chun Gan's implementation achieves a balance between corpus entropy and vocabulary size, ultimately improving the performance of the generated vocabulary.

Career Highlights

Chun Gan is currently employed at Beijing Youzhuju Network Technology Co., Ltd. His work at this company focuses on advancing technologies related to machine translation and natural language processing. His expertise in this area has positioned him as a key player in the development of innovative solutions.

Collaborations

Chun Gan collaborates with talented individuals such as Jingjing Xu and Hao Zhou. Their combined efforts contribute to the success of projects within their organization, fostering an environment of innovation and creativity.

Conclusion

Chun Gan's contributions to neural machine translation through his patent and collaborative efforts highlight his role as a significant inventor in the field. His work continues to pave the way for advancements in language processing technologies.

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