Asiye Tuba Koksal

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2020

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#Turki$hTweets: A Benchmark Dataset for Turkish Text Correction
Asiye Tuba Koksal | Ozge Bozal | Emre Yürekli | Gizem Gezici
Findings of the Association for Computational Linguistics: EMNLP 2020

#Turki$hTweets is a benchmark dataset for the task of correcting the user misspellings, with the purpose of introducing the first public Turkish dataset in this area. #Turki$hTweets provides correct/incorrect word annotations with a detailed misspelling category formulation based on the real user data. We evaluated four state-of-the-art approaches on our dataset to present a preliminary analysis for the sake of reproducibility.
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