A Comprehensive Dataset of Spelling Errors and Users’ Corrections in Croatian Language

This paper presents a unique and extensive dataset containing over 33 million entries with pairs in the form “spelling error → correction” from ispravi.me, most popular Croatian online spellchecking service, collected since 2008. The dataset, compiled contribution of nearly 900,000 users, is valuable resource for researchers developers field natural language processing (NLP), improving spellcheck accuracy, learning applications. may be used to accomplish several goals: (1) accuracy by incorporating common user corrections reducing false positives negatives; (2) helping learners identify errors learn correct spelling through targeted feedback; (3) analyzing data trends patterns uncover their underlying causes; (4) identifying evaluating factors that influence typing input; (5) NLP applications such as text recognition machine translation. Tasks specific include creation letter-level confusion matrix refinement word suggestions based on historical usage service. comprehensive provides practitioners wealth information, opening path advancements spellchecking, learning, language.