Abstract
The design and development of the Kazakh language terminology recognition platform in IT field is one of the important means for more effective use of term resources in the field. Used a conditional random field (CRF) and manual modification method in the platform and based on the characteristics of the Kazakh language itself, this paper analyzes the rules of terminology formation and related terminology identification methods as well as describes the basic framework of the term recognition platform and the workflow and main functions of the training corpus, terminology recognition, feature template and term extraction in the system.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IOP Conference Series: Earth and Environmental 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.