OLAC Record
oai:lindat.mff.cuni.cz:11372/LRT-1323

Metadata
Title:Synpathy
Bibliographic Citation:http://hdl.handle.net/11372/LRT-1323
Date (W3CDTF):2014-07-30T21:34:37Z
Date Available:2014-07-30T21:34:37Z
Description:Synpathy is a tool for annotating, analyzing, and graphically editing the syntactical structure of sentences (e.g. linguisticly annotated text corpora), developed at the Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands. The application is based on the SyntaxViewer from the TIGER search project developed by the IMS (Institute für Maschinelle Sprachverarbeitung, University of Stuttgart). Since all (non) terminal node features values are user definable a wide range of linguistic descriptions like syntax trees, functional structures, dependency-style structures or predicate-argument structures can be accommodated. The annotated text together with its treebank graph information is stored separately from the list of labels used in the graph (features). Output formats are in persistent TIGER-XML. This facilitates the further processing of the data by other linguistic applications (like ELAN and ANNEX).
Identifier (URI):http://hdl.handle.net/11372/LRT-1323
Language:No linguistic content
Language (ISO639):zxx
Publisher:Max Planck Institute for Psycholinguistics
Subject:annotation tool
Type:toolService
Type (DCMI):Software

OLAC Info

Archive:  LINDAT/CLARIN digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:lindat.mff.cuni.cz:11372/LRT-1323
DateStamp:  2016-04-06
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: n.a. 2014. Max Planck Institute for Psycholinguistics.
Terms: dcmi_Software iso639_zxx


http://www.language-archives.org/item.php/oai:lindat.mff.cuni.cz:11372/LRT-1323
Up-to-date as of: Mon Feb 10 15:12:35 EST 2020