Sentence Boundary

Sentence boundary detection, crucial for natural language processing, focuses on accurately identifying the limits of grammatical sentences, particularly in challenging contexts like spoken language or unstructured text. Current research employs various approaches, including bidirectional language models trained on written text to infer punctuation in spoken data, and methods that leverage prosodic features or contextual information across multiple sentences to improve segmentation accuracy. These advancements are vital for improving automatic speech recognition, grammatical error correction, and machine translation, ultimately enhancing the efficiency and accuracy of numerous NLP applications.