| dc.contributor.advisor | Dennis Freeman and Adam Hartz. | en_US |
| dc.contributor.author | Phillips, Kade(Kade L.) | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2021-01-06T19:33:19Z | |
| dc.date.available | 2021-01-06T19:33:19Z | |
| dc.date.copyright | 2020 | en_US |
| dc.date.issued | 2020 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1721.1/129220 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, September, 2020 | en_US |
| dc.description | Cataloged from student-submitted PDF of thesis. | en_US |
| dc.description | Includes bibliographical references (page [24]). | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.statementofresponsibility | by Kade Phillips. | en_US |
| dc.format.extent | 23, 2 unnumbered pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | The THRIFT parser | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.identifier.oclc | 1227507779 | en_US |
| dc.description.collection | M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science | en_US |
| dspace.imported | 2021-01-06T19:33:17Z | en_US |
| mit.thesis.degree | Master | en_US |
| mit.thesis.department | EECS | en_US |
