\#Turki\$hTweets: A Benchmark Dataset for Turkish Text Correction
2020-11-01Findings of the Association for Computational LinguisticsCode Available0· sign in to hype
Asiye Tuba Koksal, Ozge Bozal, Emre Y{\"u}rekli, Gizem Gezici
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Abstract
\#Turki 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.