Falmouth, ME, United States of America

Robert W Swerdlow


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 202(Granted Patents)


Company Filing History:


Years Active: 2002

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1 patent (USPTO):Explore Patents

Title: Innovations by Robert W. Swerdlow

Introduction

Robert W. Swerdlow is an accomplished inventor based in Falmouth, ME (US). He has made significant contributions to the field of automated translation technology. His innovative approach focuses on enhancing the accuracy and efficiency of translating annotated texts between different languages.

Latest Patents

One of Robert W. Swerdlow's notable patents is titled "Automated translation of annotated text based on the determination of locations for inserting annotation tokens and linked ending, end-of-sentence or language tokens." This patent describes a system and method for translating an annotated source document in a first natural language to a target document in a second natural language. The process involves a translation engine that creates a token string, removes annotation tokens prior to translation, and reinserts them at appropriate locations in the translated document. This innovative method ensures that the annotations of the source document are preserved in the target document.

Career Highlights

Robert W. Swerdlow is associated with Logovista Corporation, where he applies his expertise in translation technologies. His work has contributed to advancements in how annotated texts are processed and translated, making significant strides in the field of natural language processing.

Collaborations

Throughout his career, Robert has collaborated with notable colleagues, including Lewis G. Pringle and Alec Wysoker. These collaborations have fostered an environment of innovation and creativity, leading to the development of cutting-edge technologies in the translation domain.

Conclusion

Robert W. Swerdlow's contributions to automated translation technology exemplify the impact of innovative thinking in the field of language processing. His work continues to influence how we approach the translation of annotated texts, ensuring that important contextual information is preserved across languages.

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