Punctuation Restoration

Punctuation Restoration is an important subtask in natural language processing, aiming to automatically restore missing punctuation marks in text to enhance its readability and semantic accuracy. The goal of this task is to use machine learning algorithms to analyze the context, identify, and insert the correct punctuation. Its application value lies in improving the performance of text processing systems such as speech recognition, machine translation, and text summarization, thereby enhancing the overall efficiency and quality of natural language understanding.