Abstract
The paper describes an application of evolvable fuzzy neural networks for artificial creativity in linguistics, which consists of the intelligent mechanisms of affix and root morpheme creativity and analysis. The task of the creation of an English vocabulary was resolved with neural networks which have an evolvable architecture with learning capabilities as well as a fuzzy connectionist structure. The paper features a form of artificial creativity which creates words on its own using genetic algorithms, fuzzy logic methods, and multiple layer neural networks. A review of selected issues is carried out with regards to linguistic creativity as well as spontaneous language production. The paper also presents experimental results of affix and root morpheme recognition in the context of word meaning analysis.
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 callDisclaimer: 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.
