Location History:
- Cairo, EG (2015)
- Giza, EG (2018)
Company Filing History:
Years Active: 2015-2018
Title: Sayed Hassan: Innovator in Query Intent and Machine Translation Technologies
Introduction
Sayed Hassan is a notable inventor based in Giza, Egypt. He has made significant contributions to the fields of query intent identification and machine translation. With a total of 2 patents, his work has the potential to enhance the way technology interacts with natural language.
Latest Patents
Hassan's latest patents include innovative technologies aimed at improving user experience in search and translation. One of his patents focuses on identifying query intent. This technology describes a method for separating and merging terms of a natural language expression based on rule-based transpositions. It aims to create intent-based cluster information by associating natural language expressions with previously identified search term clusters.
Another patent addresses the challenge of resolving out-of-vocabulary words during machine translation. This invention outlines techniques for automated translation, including morphological analysis to identify stems of out-of-vocabulary words. The process involves translating stems, inflecting them if necessary, and handling any affixes appropriately. This patent also includes methods for correcting misspellings and replacing colloquial forms with formal words before analysis.
Career Highlights
Sayed Hassan is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative technologies. His work at Microsoft has allowed him to collaborate with leading experts in the field, further enhancing his contributions to technology.
Collaborations
Some of his notable coworkers include Meyyammai Subramanian and Anneliese Creighton Wirth. Their collaboration has likely fostered an environment of innovation and creativity, leading to advancements in their respective fields.
Conclusion
Sayed Hassan's contributions to query intent identification and machine translation are paving the way for more intuitive technology. His patents reflect a deep understanding of natural language processing and its applications. As he continues his work at Microsoft, his innovations will undoubtedly influence the future of technology.