{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Science Tech Brief By HackerNoon","title":"Choosing a Python Sentence Boundary Detection Library","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/80de515d\"></iframe>","width":"100%","height":180,"duration":833,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/choosing-a-python-sentence-boundary-detection-library.\nA high-accuracy, rule-based Sentence Boundary Detector (SBD) with a drop-in adapter for pysbd, delivering faster and more accurate segmentation.\nCheck more stories related to data-science at: https://hackernoon.com/c/data-science.\n            You can also check exclusive content about #nlp, #natural-language-processing, #sentence-level-analysis, #tokenization, #sentence-boundary-detection, #sentence-segmentation, #pysbd-vs-yasbd-lib, #nlp-libraries,  and more.\nThis story was written by: @speedyk-005. Learn more about this writer by checking @speedyk-005's about page,\n            and for more stories, please visit hackernoon.com.\nyasbd-lib is a fast, streaming-first Python sentence splitter that avoids text-mutation bugs to preserve exact spans, whereas pysbd is a mature, widely used rule-based splitter that is stable but largely unmaintained upstream.","thumbnail_url":"https://img.transistorcdn.com/8VxAgS1Ll3FJEERcAdhFdqqXJMnE7OfD2RUvrjauLt0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY4LzE2ODM1/ODI1ODUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}