Viet Ha-Thuc

Title: Innovator Viet Ha-Thuc: Pioneering Language Models and Document Categorization

Introduction

Viet Ha-Thuc is an accomplished inventor based in Coralville, IA (US). He has made significant contributions to the field of language modeling and document categorization, holding a total of 2 patents. His work focuses on enhancing translation systems and improving the classification of documents through innovative methodologies.

Latest Patents

Viet Ha-Thuc's latest patents include a "Method and system for confidence-weighted learning of factored discriminative language models." This patent describes a system and method for building a language model for a translation system. The method involves providing a first relative ranking of translations in a target language, determining a second relative ranking using weights of a language model, and updating the weights based on confidence measures.

Another notable patent is "Large scale unsupervised hierarchical document categorization using ontological guidance." This classification method constructs queries from category descriptors representing a taxonomy of hierarchically organized categories. The method retrieves pseudo-relevant documents and classifies input documents by optimizing mixture weights of a weighted combination of categories.

Career Highlights

Viet Ha-Thuc is currently employed at Xerox Corporation, where he applies his expertise in language models and document categorization. His innovative approaches have contributed to advancements in the field, making significant impacts on how language processing and document classification are conducted.

Collaborations

Throughout his career, Viet has collaborated with notable colleagues, including Nicola Cancedda and Jean-Michel Renders. These collaborations have fostered a productive environment for innovation and development in their respective fields.

Conclusion

Viet Ha-Thuc's contributions to language modeling and document categorization demonstrate his commitment to advancing technology in these areas. His patents reflect a deep understanding of complex systems and a drive to improve existing methodologies.