Practical Linguistically Motivated Parsing
Center for Language & Speech Processing(CLSP), JHU via YouTube
Python, Prompt Engineering, Data Science — Build the Skills Employers Want Now
The Most Addictive Python and SQL Courses
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore practical approaches to linguistically motivated parsing in this comprehensive lecture from the Johns Hopkins University Summer School on Human Language Technology. Learn advanced techniques for developing parsing systems that incorporate linguistic theory while maintaining computational efficiency and practical applicability. Discover how to bridge the gap between theoretical linguistic frameworks and real-world natural language processing applications through detailed examination of parsing algorithms, grammatical formalisms, and implementation strategies. Gain insights into the challenges of creating parsers that respect linguistic principles while achieving the performance requirements necessary for practical deployment in language technology systems.
Syllabus
Stephen Clark: Practical Linguistically Motivated Parsing
Taught by
Center for Language & Speech Processing(CLSP), JHU