#Turki$hTweets: A Benchmark Dataset for Turkish Text Correction

Findings of the Association for Computational Linguistics: EMNLP 2020, pages 4190–4198 November 16 - 20, 2020. c©2020 Association for Computational Linguistics 4190#Turki$hTweets: A Benchmark Dataset for Turkish Text Correction Asiye Tuba Koksal1, Ozge Bozal1,2, Emre Yurekli1, Gizem Gezici1,3 1Huawei R&D Center, Istanbul, Turkey 2Bogazici University, Istanbul, Turkey 3Sabanci University, Istanbul, Turkey {asiye.tuba.koksal, ozge.bozal, emre.yurekli, gizem.gezici}@huawei.com Abstract #Turki$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 formula- tion 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. The annotated dataset is publicly available at https://github.com/ atubakoksal/annotated_tweets.