Company Filing History:
Years Active: 1992
Title: H Tayloe Stansbury: Innovator in Natural Language Processing
Introduction
H Tayloe Stansbury is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of natural language processing, particularly through his innovative patent. His work focuses on enhancing the way text is processed and understood by machines.
Latest Patents
Stansbury holds a patent for a technique titled "Processing natural language text using autonomous punctuational structure." This invention introduces a data structure that includes structural data within the text data. The structural data indicates an autonomous punctuational structure that is independent of the lexical content of the text. This allows for manipulation without considering the meaning of the words. The data structure can take the form of a tree, where each node represents a textual type such as a paragraph, sentence, clause, phrase, or word. Alternatively, it can consist of parallel data sequences, one with codes for the text's characters and another with codes for textual types. The data structure is produced and maintained using a grammar of textual types, which defines how each type can be divided. During editing, a text sequence is generated by applying rendering rules to the data structure, allowing the text to be presented to the user based on this sequence.
Career Highlights
Stansbury is currently employed at Xerox Corporation, where he continues to develop and refine his innovative ideas. His work has had a profound impact on the field of natural language processing, paving the way for advancements in how machines understand and process human language.
Collaborations
Throughout his career, Stansbury has collaborated with notable colleagues such as Geoffrey D Nunberg and Curtis Abbott. These collaborations have further enriched his work and contributed to the development of cutting-edge technologies in natural language processing.
Conclusion
H Tayloe Stansbury's contributions to natural language processing through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the way machines interact with human language, showcasing the importance of innovation in this field.