GovdeTurk : a novel Turkish natural language processing tool for stemming, morphological labelling and verb negation
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 2 (31 Mar. 2021), pp.148-157, 10 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-03-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
GovdeTurk is a tool for stemming, morphological labeling and verb negation for Turkish language.
We designed comprehensive finite automata to represent Turkish grammar rules.
Based on these automata, GovdeTurk finds the stem of the word by removing the inflectional suffixes in a longest match strategy.
Levenshtein Distance is used to correct spelling errors that may occur during suffix removal.
Morphological labeling identifies the functionality of a given token.
Nine different dictionaries are constructed for each specific word type.
These dictionaries are used in the stemming and morphological labeling.
Verb negation module is developed for lexicon based sentiment analysis.
GovdeTurk is tested on a dataset of one million words.
The results are compared with Zemberek and Turkish Snowball Algorithm.
While the closest competitor, Zemberek, in the stemming step has an accuracy of 80%, GovdeTurk gives 97.3% of accuracy.
Morphological labeling accuracy of GovdeTurk is 93.6%.
With outperforming results, our model becomes foremost among its competitors.
American Psychological Association (APA)
Yucebas, Sait& Tintin, Rabiah. 2021. GovdeTurk : a novel Turkish natural language processing tool for stemming, morphological labelling and verb negation. The International Arab Journal of Information Technology،Vol. 18, no. 2, pp.148-157.
https://search.emarefa.net/detail/BIM-1430906
Modern Language Association (MLA)
Yucebas, Sait& Tintin, Rabiah. GovdeTurk : a novel Turkish natural language processing tool for stemming, morphological labelling and verb negation. The International Arab Journal of Information Technology Vol. 18, no. 2 (Mar. 2021), pp.148-157.
https://search.emarefa.net/detail/BIM-1430906
American Medical Association (AMA)
Yucebas, Sait& Tintin, Rabiah. GovdeTurk : a novel Turkish natural language processing tool for stemming, morphological labelling and verb negation. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 2, pp.148-157.
https://search.emarefa.net/detail/BIM-1430906
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 156-157
Record ID
BIM-1430906