Abstract
Compositions evaluation is one of the main tasks in Chinese teaching, how to evaluate compositions quickly and efficiently is an important assignment of language intelligence research. A method combining artificial intelligence and language intelligence is proposed to solve this problem, constructing a compositions evaluation system based on anomaly detection which belongs to unsupervised learning algorithm, applying Gaussian distribution theory to distinguish these abnormal characteristics from normal ones in a batch of compositions, according to which method could quickly identify anomalies in the compositions lead to low scores and ultimately achieve the goal of evaluating compositions accurately and efficiently.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DEStech Transactions on Social Science, Education and Human Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
