Join us for the Program in Islamic Law’s Islamic Law, Data Science, and AI Lab!
Machine learning and natural language processing are becoming inseparable part of many studies in the fields of humanities. While most of current NLP models are trained for the purpose of understanding general and everyday language, they can be fine-tuned to benefit studies in a specific field such as law. Such work has already been done with the English language, however, similar tools in other languages such as Persian (Farsi) and Arabic remain limited.
This lecture focuses on Persian NLP and briefly discusses the current state of Persian NLP for general language processing and understanding. It touches upon its shortcomings and strengths. It also discusses a roadmap of steps to be taken to have the current NLP tools and models prepare for research in the field of Law.
Reza Takhshid is a graduate of Sharif University of Technology in Tehran and holds a Master’s Degree in Computational Linguistics. He has taught “Introduction to Programing” at Sharif University’s Computational Linguistics program. He is currently the Chief Technology Officer of a natural language processing and speech recognition startup company in Iran.