Resources for Turkish morphological processing

• Published in: Language Resources and Evaluation Vol. 45; no. 2; pp. 249 - 261
• Main Authors: Sak, Haşim, Güngör, Tunga, Saraçlar, Murat
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer 01.05.2011; Springer Netherlands; Springer Nature B.V
• Subjects: Agglutinative languages; Algorithms; Applied linguistics; Computational Linguistics; Computer Science; Corpus linguistics; Language; Language and Literature; Languages; Linguistic morphology; Linguistics; Morphemes; Morphological analysis; Morphology; Natural language processing; Natural morphology; Parsers; Self organizing systems; Social Sciences; State of the art; Texts; Transducers; Turkish language; Webs; Word sense disambiguation; Words; Turkey; Turkish language resources; Morphological parser; Web corpus; Morphological disambiguation; Disambiguation; Morphology; Natural language processing; Algorithm; Linguistic resources; Corpus; Turkish
• ISSN: 1574-020X; 1572-8412; 1574-0218
• DOI: 10.1007/s10579-010-9128-6

We present a set of language resources and tools—a morphological parser, a morphological disambiguator, and a text corpus—for exploiting Turkish morphology in natural language processing applications. The morphological parser is a state-of-the-art finite-state transducer-based implementation of Turkish morphology. The disambiguator is based on the averaged perceptron algorithm and has the best accuracy reported for Turkish in the literature. The text corpus has been compiled from the web and contains about 500 million tokens. This is the largest Turkish web corpus published.