DMCA
Fangorn: A system for querying very large treebanks
| Citations: | 3 - 0 self |
BibTeX
@MISC{Ghodke_fangorn:a,
author = {Sumukh Ghodke and Steven Bird},
title = {Fangorn: A system for querying very large treebanks},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
The efficiency and robustness of statistical parsers has made it possible to create very large treebanks. These serve as the starting point for further work including enrichment, extraction, and curation: semantic annotations are added, syntactic features are mined, erroneous analyses are corrected. In many such cases manual processing is required, and this must operate efficiently on the largest scale. We report on an efficient web-based system for querying very large treebanks called Fangorn. It implements an XPath-like query language which is extended with a linguistic operator to capture proximity in the terminal sequence. Query results are displayed using scalable vector graphics and decorated with the original query, making it easy for queries to be modified and resubmitted. Fangorn is built on the Apache Lucene text search engine and is available under the Apache License.
Keyphrases
large treebanks semantic annotation syntactic feature apache lucene original query linguistic operator statistical parser many case manual processing starting point efficient web-based system terminal sequence search engine scalable vector graphic erroneous analysis query result xpath-like query language apache license
