Hungarian Text Diacritization

Adding diacritical marks to Hungarian text is a subtask of natural language processing aimed at automatically adding the correct diacritical marks to unmarked Hungarian text. The goal of this task is to enhance the readability and accuracy of the text, ensuring the proper use of the language. By using deep learning and language modeling techniques, the ambiguity caused by the lack of diacritical marks in Hungarian can be effectively resolved, improving the performance of applications such as machine translation and speech synthesis.