mlsanityData to 7 Oct 2026

Mukayese: Turkish NLP Strikes Back

arXiv 2203.01215 ↗First posted 2 Mar 2022cs.CLcited by 9

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Abstract (arXiv)

Having sufficient resources for language X lifts it from the under-resourced languages class, but not necessarily from the under-researched class. In this paper, we address the problem of the absence of organized benchmarks in the Turkish language. We demonstrate that languages such as Turkish are left behind the state-of-the-art in NLP applications. As a solution, we present Mukayese, a set of NLP benchmarks for the Turkish language that contains several NLP tasks. We work on one or more datasets for each benchmark and present two or more baselines. Moreover, we present four new benchmarking datasets in Turkish for language modeling, sentence segmentation, and spell checking. All datasets and baselines are available under: https://github.com/alisafaya/mukayese

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 30 of its 87 references that are in the map. First posted on arXiv 2 Mar 2022.

Builds on

30 of 87 references.

References · 30

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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 2; 2024: 3; 2025: 1; 2026: 1.

9 papers.