EMNLP 2020Findings
#Turki$hTweets: A Benchmark Dataset for Turkish Text Correction
作者: Asiye Tuba Koksal, Ozge Bozal, Emre Yürekli, Gizem Gezici
摘要
#Turki$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.