ITU Turkish NLP Web Service

Gülşen Eryiğit*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

61 Citations (Scopus)

Abstract

We present a natural language processing (NLP) platform, namely the “ITU Turkish NLP Web Service” by the natural language processing group of Istanbul Technical University. The platform (available at tools.nlp.itu.edu.tr) operates as a SaaS (Software as a Service) and provides the researchers and the students the state of the art NLP tools in many layers: preprocessing, morphology, syntax and entity recognition. The users may communicate with the platform via three channels: 1. via a user friendly web interface, 2. by file uploads and 3. by using the provided Web APIs within their own codes for constructing higher level applications.

Original languageEnglish
Title of host publicationEACL 2014 - Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics
PublisherAssociation for Computational Linguistics (ACL)
Pages1-4
Number of pages4
ISBN (Electronic)9781937284756
Publication statusPublished - 2014
Event14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014 - Gothenburg, Sweden
Duration: 26 Apr 201430 Apr 2014

Publication series

NameEACL 2014 - Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics

Conference

Conference14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014
Country/TerritorySweden
CityGothenburg
Period26/04/1430/04/14

Bibliographical note

Publisher Copyright:
© 2014 Association for Computational Linguistics

Funding

I want to thank my students without whose it would be impossible to produce the ITU Turkish NLP pipeline: Thomas Joole, Dilara Torunog˘lu, Umut Sulubacak and Hasan Kaya. This work is part of a research project supported by TUBITAK 1001(Grant number: 112E276) as an ICT cost action (IC1207) project.

FundersFunder number
ICT cost actionIC1207
TUBITAK 1001112E276

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