Autobank: a semi-automatic annotation tool for developing deep Minimalist Grammar treebanks

John Torr


Abstract
This paper presents Autobank, a prototype tool for constructing a wide-coverage Minimalist Grammar (MG) (Stabler 1997), and semi-automatically converting the Penn Treebank (PTB) into a deep Minimalist treebank. The front end of the tool is a graphical user interface which facilitates the rapid development of a seed set of MG trees via manual reannotation of PTB preterminals with MG lexical categories. The system then extracts various dependency mappings between the source and target trees, and uses these in concert with a non-statistical MG parser to automatically reannotate the rest of the corpus. Autobank thus enables deep treebank conversions (and subsequent modifications) without the need for complex transduction algorithms accompanied by cascades of ad hoc rules; instead, the locus of human effort falls directly on the task of grammar construction itself.
Anthology ID:
E17-3021
Volume:
Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
Month:
April
Year:
2017
Address:
Valencia, Spain
Editors:
André Martins, Anselmo Peñas
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
81–86
Language:
URL:
https://aclanthology.org/E17-3021
DOI:
Bibkey:
Cite (ACL):
John Torr. 2017. Autobank: a semi-automatic annotation tool for developing deep Minimalist Grammar treebanks. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 81–86, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Autobank: a semi-automatic annotation tool for developing deep Minimalist Grammar treebanks (Torr, EACL 2017)
Copy Citation:
PDF:
https://aclanthology.org/E17-3021.pdf
Data
Penn Treebank