Home
Register
Login
Browse Resources
Community
Statistics
Help
About
META-SHARE Members
META-SHARE Repositories
META-SHARE Managing Nodes
LR Sharing
Licensing LRs
Notice and Takedown Policy
Privacy
Data Protection
Data Protection Statement
63
Last view: 2023-09-26
STEPP Tagger
Part-of-speech tagger tuned to biomedical text, provided as a web service.
« Back
Download
You don’t have the permission to edit this resource.
Edit Resource
Distribution
Availability
Available - Restricted Use
Licence
Proprietary
Restrictions:
Commercial Use
User Nature:
Commercial
Download location:
hidden
Distribution Access/Medium:
Downloadable
Attribution Details:
The Stepp Tagger was developed at the Department of Information Science, University of Tokyo
Licensors:
University of Manchester
School of Computer Science
University of Manchester
[javascript protected email address]
Distribution rights holders:
University of Manchester
School of Computer Science
University of Manchester
[javascript protected email address]
Proprietary
Restrictions:
Academic - Non Commercial Use, Attribution, No Derivatives, No Redistribution
User Nature:
Academic
Attribution Details:
The Stepp Tagger was developed at the Department of Information Science, University of Tokyo
Distribution Access/Medium:
Downloadable
Licensors:
University of Tokyo
Department of Information Science
University of Tokyo
[javascript protected email address]
Distribution rights holders:
University of Tokyo
Department of Information Science
University of Tokyo
[javascript protected email address]
Contact Person
Sophia Ananiadou
University of Manchester
Professor
[javascript protected email address]
School of Computer Science
[javascript protected email address]
toolService
Tool
Language Dependent
Input
Media type:
Text
Resource type:
Corpus
Modality:
Written Language
Language:
Englishu
Character encoding:
UTF - 8
Annotation type:
Structural Annotation
Segmentation level:
Sentence, Word
Output
Media type:
Text
Resource type:
Corpus
Modality:
Written Language
Language:
English
Character encoding:
UTF - 8
Annotation type:
Morphosyntactic Annotation - Pos Tagging
Segmentation level:
Word
Operation
Operating system:
Unix
Metadata
Created:
19/11/2012
Last Updated:
15/02/2013
Metadata Creator
Paul Thompson
University of Manchester
Research Associate
[javascript protected email address]
School of Computer Science
[javascript protected email address]
Usage
Foreseen Use
Nlp Applications
Use NLP Specific:
Pos Tagging, Text Mining
Actual Use - Nlp Applications
Use NLP Specific:
Pos Tagging, Text Mining
Documentation
Document Type:
Other
Paul Thompson,
STEPP Tagger
,
http://www.nactem.ac...
People who looked at this resource also viewed the following:
STEBIS - The system of thesauri of the Sejm Library
Statistics (Termcat)
State Language Consultancy Bank
Suvi Finnish Sign Language Online Dictionary
Home
63
