A word-based approach for diacritic restoration in MÄori

This paper describes a supervised algorithm for diacritic restoration based on naive Bayes classifiers that act at wordlevel. Classifications are based on a rich set of features, extracted automatically from training data in the form of diacritically marked text. The method requires no additional resources, which makes it language independent. The algorithm was evaluated on one language, namely Māori and an accuracy exceeding 99% was observed.