Pi-Chuan Chang

Title: The Innovations of Pi-Chuan Chang

Introduction

Pi-Chuan Chang is a notable inventor based in Stanford, California. He has made significant contributions to the field of machine translation through his innovative patent. His work focuses on improving the accuracy and efficiency of translating languages using advanced computational models.

Latest Patents

One of Pi-Chuan Chang's key patents is titled "Discriminative Syntactic Word Order Model for Machine Translation." This patent describes a discriminatively trained word order model that identifies the most likely word order from a set of possible orders for target words translated from a source sentence. The model utilizes features derived from both source and target dependency trees, as well as the order of words in the proposed word orders. The statistical model is trained by evaluating a translation metric for each of a set of N-best word orders, ensuring that the selected orders are projective with respect to a target dependency tree. This innovative approach combines an n-gram language model with a local tree order model to enhance translation quality.

Career Highlights

Pi-Chuan Chang is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop and refine his ideas in the realm of machine translation. His work has garnered attention for its potential to revolutionize how languages are translated in real-time applications.

Collaborations

He has collaborated with Kristina Nikolova Toutanova, a fellow researcher, to further explore advancements in machine translation technologies.

Conclusion

Pi-Chuan Chang's contributions to the field of machine translation exemplify the impact of innovative thinking in technology. His patent reflects a significant step forward in the quest for more accurate and efficient language translation solutions.