Mukayese
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About
Mukayese is an extensive suite aimed at improving Turkish Natural Language Processing (NLP) through organized benchmarks and datasets. It includes various tasks such as Language Modeling, Machine Translation, Named Entity Recognition, Sentence Segmentation, Spellchecking and Correction, Summarization, and Text Classification. Mukayese also features a leaderboard for evaluating large language models (LLMs) on Turkish tasks, fostering a competitive environment for researchers and developers. This initiative addresses the gap in state-of-the-art systems for Turkish NLP as identified in the findings of the Association for Computational Linguistics in 2022.
Platform
Task
Features
• summarization capabilities
• text classification tools
• spellchecking and correction
• support for sentence segmentation
• support for named entity recognition
• support for machine translation
• support for language modeling
• mukayesellm leaderboard
• benchmarks for multiple tasks
• turkish nlp datasets
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