dc.contributor.author | Listenmaa, Inari | |
dc.date.accessioned | 2019-02-15T08:35:12Z | |
dc.date.available | 2019-02-15T08:35:12Z | |
dc.date.issued | 2019-02-15 | |
dc.identifier.isbn | 978-91-7833-323-3 | |
dc.identifier.uri | http://hdl.handle.net/2077/59037 | |
dc.description.abstract | Grammar engineering has a lot in common with software engineering. Analogous to a program specification, we use descriptive grammar books; in place of unit tests, we have gold standard corpora and test cases for manual inspection. And just like any software, our grammars still contain bugs: grammatical sentences that are rejected, ungrammatical sentences that are parsed, or grammatical sentences that get the wrong parse.
This thesis presents two contributions to the analysis and quality control of computational grammars of natural languages. Firstly, we present a method for finding contradictory grammar rules in Constraint Grammar, a robust and low-level formalism for part-of-speech tagging and shallow parsing. Secondly, we generate minimal and representative test suites of example sentences that cover all grammatical constructions in Grammatical Framework, a multilingual grammar formalism based on deep structural analysis. | sv |
dc.language.iso | swe | sv |
dc.relation.ispartofseries | 168D | sv |
dc.title | Formal Methods for Testing Grammars | sv |
dc.type | Text | |
dc.type.svep | Doctoral thesis | |
dc.gup.mail | inari.listenmaa@gmail.com | sv |
dc.type.degree | Doctor of Philosophy | sv |
dc.gup.origin | Göteborgs universitet. IT-fakulteten | sv |
dc.gup.department | Department of Computer Science and Engineering ; Institutionen för data- och informationsteknik | sv |
dc.citation.doi | ITF | |
dc.gup.defenceplace | Fredagen den 8 mars 2019, kl. 10.00, EC, EDIT, Hörsalsvägen 11 | sv |
dc.gup.defencedate | 2019-03-08 | |