Nanjing, China

Zhangliang Xiong

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.8

ph-index = 1

Forward Citations = 36(Granted Patents)


Company Filing History:


Years Active: 2014-2025

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Innovations of Zhangliang Xiong in Machine Translation

Introduction

Zhangliang Xiong is a notable inventor based in Nanjing, China. He has made significant contributions to the field of machine translation, particularly through his innovative patent. His work focuses on enhancing the accuracy and efficiency of translation systems.

Latest Patents

Zhangliang Xiong holds a patent for a "Syntactic analysis and hierarchical phrase model based machine translation system and method." This invention provides a comprehensive machine translation system that includes several modules such as a word alignment module, a phrase extraction module, and a gender syntactic annotation module. The system performs syntactic analysis based on a common contiguous phrase-based machine translation model. It extracts a syntactic-based noncontiguous phrase rule set from bilingual aligned text, addressing the issue of noncontiguous fixed custom in the context of a whole sentence. The translation results are evaluated based on an evaluation model, thereby improving the overall translation quality.

Career Highlights

Throughout his career, Zhangliang has worked with prominent companies, including Samsung Electronics Co., Ltd. and Samsung Electronics (China) R&D Center. His experience in these organizations has contributed to his expertise in machine translation technologies.

Collaborations

Zhangliang has collaborated with talented individuals such as Liang He and Lei Wan. These partnerships have likely enriched his work and led to further advancements in his field.

Conclusion

Zhangliang Xiong's contributions to machine translation through his innovative patent demonstrate his commitment to improving language processing technologies. His work continues to influence the development of more effective translation systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…