Collocation Extractor

1 Last view: 2016-02-27

Collocation Extractor

Colloc

Attribution details: Please cite this paper: 'Dan Ștefănescu. Intelligent Information Mining from Multilingual Corpora. PhD thesis (in Romanian). Romanian Academy, Bucharest, Romania'

http://nlptools.racai.ro/

Colloc

ID:

Colloc

A stand-alone application which identifies and extracts collocations along with their contexts of occurence from a given preprocessed text. This tool is language independent.

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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 Ștefănescu. Intelligent Information Mining from Multilingual Corpora. PhD thesis (in Romanian). Romanian Academy, Bucharest, Romania'

Licensors:

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

IPR Holders:

Dan Ștefănescu

Contact Person

Dan Tufiș

toolService

Tool

Language Independent

Input

Media type: Text

Resource type: Corpus

Modality: Written Language

Annotation type: Lemmatization, Morphosyntactic Annotation - Pos Tagging, Segmentation

Segmentation level: Word

Output

Media type: Text

Resource type: Corpus

Modality: Written Language

Character encoding: UTF - 8

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

Operation

Operating system: Windows

Required hardware: Other

Running environment details: requires Microsoft .Net Framework 3.5 and 2Gb RAM

Running time: Depends on the size of the input file: about 5 min for any operation on a 350 Mb input file

Metadata

Created: 12/07/2012

Last Updated: 01/02/2013

Metadata Language: English (en)

Metadata Creator

Dan Ștefănescu

Version

Version: 1.5

Documentation

Document Type: Manual

Dan Ștefănescu, Collocation Extractor, http://ws.racai.ro:9...

Keywords: collocation extractor, application

Document Language: English