The THRIFT parser
Author(s)
Phillips, Kade(Kade L.)
Download1227507779-MIT.pdf (165.8Kb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Dennis Freeman and Adam Hartz.
Terms of use
Metadata
Show full item recordAbstract
This thesis describes the thrift parsing algorithm, a new parsing algorithm that handles ambiguous grammars, is highly parallelizable, provides fine control over the structure of the output parse trees, and is easily extensible, particularly for the purpose of context-sensitive parsing or on-the-fly syntax changes.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, September, 2020 Cataloged from student-submitted PDF of thesis. Includes bibliographical references (page [24]).
Date issued
2020Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.