Sentence Boundary Detection is a natural language processing task that identifies the boundaries between sentences in a text. This process is crucial for understanding and processing written language, as it helps in segmenting text into manageable parts. Accurate detection allows for better analysis, summarization, and translation of content. The techniques used for Sentence Boundary Detection often involve rules based on punctuation marks, such as periods, exclamation points, and question marks. Additionally, machine learning models can be trained on annotated datasets to improve accuracy, especially in complex cases where punctuation may not clearly indicate sentence boundaries.