TurkishDelightNLP: A neural Turkish NLP toolkit
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AFFIQGHBM" target="_blank" >RIV/00216208:11320/22:FFIQGHBM - isvavai.cz</a>
Result on the web
<a href="https://wlv.openrepository.com/handle/2436/624766" target="_blank" >https://wlv.openrepository.com/handle/2436/624766</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
TurkishDelightNLP: A neural Turkish NLP toolkit
Original language description
We introduce a neural Turkish NLP toolkit called TurkishDelightNLP that performs computational linguistic analyses from morphological level to semantic level that involves tasks such as stemming, morphological segmentation, morphological tagging, part-of-speech tagging, dependency parsing, and semantic parsing, as well as high-level NLP tasks such as named entity recognition. We publicly share the open-source Turkish NLP toolkit through a web interface that allows an input text to be analysed in real-time, as well as the open source implementation of the components provided in the toolkit, an API, and several annotated datasets such as word similarity test set to evaluate word embeddings and UCCA-based semantic annotation in Turkish. This will be the first open-source Turkish NLP toolkit that involves a range of NLP tasks in all levels. We believe that it will be useful for other researchers in Turkish NLP and will be also beneficial for other high-level NLP tasks in Turkish.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
ISBN
978-1-955917-74-2
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
17-26
Publisher name
Association for Computational Linguistics
Place of publication
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Event location
Seattle, online
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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