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        <title>#Turki$hTweets: A Benchmark Dataset for Turkish Text Correction</title>
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    <abstract>#Turki$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$hTweets provides correct/incorrect word annotations with a detailed misspelling category formulation based on the real user data. We evaluated four state-of-the-art approaches on our dataset to present a preliminary analysis for the sake of reproducibility.</abstract>
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    <identifier type="doi">10.18653/v1/2020.findings-emnlp.374</identifier>
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%0 Conference Proceedings
%T #Turki$hTweets: A Benchmark Dataset for Turkish Text Correction
%A Koksal, Asiye Tuba
%A Bozal, Ozge
%A Yürekli, Emre
%A Gezici, Gizem
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Findings of the Association for Computational Linguistics: EMNLP 2020
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F koksal-etal-2020-turki
%X #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.
%R 10.18653/v1/2020.findings-emnlp.374
%U https://aclanthology.org/2020.findings-emnlp.374
%U https://doi.org/10.18653/v1/2020.findings-emnlp.374
%P 4190-4198

Markdown (Informal)

[#Turki$hTweets: A Benchmark Dataset for Turkish Text Correction](https://aclanthology.org/2020.findings-emnlp.374) (Koksal et al., Findings 2020)

• #Turki$hTweets: A Benchmark Dataset for Turkish Text Correction (Koksal et al., Findings 2020)

ACL

• Asiye Tuba Koksal, Ozge Bozal, Emre Yürekli, and Gizem Gezici. 2020. #Turki$hTweets: A Benchmark Dataset for Turkish Text Correction. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 4190–4198, Online. Association for Computational Linguistics.