Tokenizing, Tagging, Lemmatizing and Chunking free running texts

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Tokenizing, Tagging, Lemmatizing and Chunking free running texts

TTL

Attribution details: Please cite this paper: 'Dan Tufiș, Radu Ion, Alexandru Ceaușu, and Dan Ștefănescu. RACAI's Linguistic Web Services. In Proceedings of the 6th Language Resources and Evaluation Conference - LREC 2008, Marrakech, Morocco, May 2008. ELRA - European Language Resources Association.'

http://ws.racai.ro/ttlws.wsdl

TTLWS-MetaNet4U

ID:

TTLWS

The TTL web service performs sentence splitting, tokenization, POS tagging, lemmatization and chunking for English, Romanian and French.

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Distribution

Availability: Available

Licences

Non Standard Licence Terms

Conditions: Inform Licensor, No Redistribution

Distribution Details

User Nature: Academic, Commercial

Distribution Access/Medium: Accessible Through Interface

Attribution Details: Please cite this paper: 'Dan Tufiș, Radu Ion, Alexandru Ceaușu, and Dan Ștefănescu. RACAI's Linguistic Web Services. In Proceedings of the 6th Language Resources and Evaluation Conference - LREC 2008, Marrakech, Morocco, May 2008. ELRA - European Language Resources Association.'

Licensors:

"Mihai Drăgănescu" Research Institute for Artificial Intelligence of the Romanian Academy

IPR Holders:

Radu Ion

Contact Person

Dan Tufiș

toolService

Service web service

Language Dependent

Input

Media type: Text

Resource type: Corpus

Modality: Written Language

Language: Romanian; Moldavian; Moldovan, English, French

Character encoding: UTF - 8

Output

Media type: Text

Resource type: Corpus

Modality: Written Language

Language: Romanian; Moldavian; Moldovan, English, French

Character encoding: UTF - 8

Annotation type: Lemmatization, Morphosyntactic Annotation - Pos Tagging, Segmentation, Syntactic Annotation - Constituency Trees

Annotation format: text output with one token per line and annotations separated by tab

Tagset: http://nl.ijs.si/ME/V3/msd/html/

Segmentation level: Sentence, Word

Operation

Operating system: Os - Independent

Required hardware: None

Running environment details: requires Perl to be installed with packages SOAP::Lite and Unicode::String from http://www.cpan.org/

Running time: approximately 100 tokens/second or 650 bytes/second doing complete processing

Metadata

Created: 10/07/2012

Last Updated: 01/02/2013

Metadata Language: English (en)

Metadata Creator

Radu Ion

Version

Version: 8.5

Documentation

Document Type: Manual

Radu Ion, Tokenizing, Tagging, Lemmatizing and Chunking free running texts (TTL), http://ws.racai.ro:9...

Keywords: sentence splitting, tokenization, POS tagging, lemmatization, chunking, Romanian, English, French

Document Language: English