April 23, 2024, 4:50 a.m. | Kun Sun, Rong Wang

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.14052v1 Announce Type: new
Abstract: Data-driven approaches have revolutionized scientific research. Machine learning and statistical analysis are commonly utilized in this type of research. Despite their widespread use, these methodologies differ significantly in their techniques and objectives. Few studies have utilized a consistent dataset to demonstrate these differences within the social sciences, particularly in language and cognitive sciences. This study leverages the Buckeye Speech Corpus to illustrate how both machine learning and statistical analysis are applied in data-driven research to …

abstract analysis arxiv cognitive cognitive sciences consistent cs.cl data data-driven dataset differential language machine machine learning research scientific scientific research statistical stat.me studies type

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