Abstract

This paper shows how the use and applications of Fuzzy Sets (FS) in Speech and Natural Language Processing (SNLP) have seen a steady decline to a point where FS are virtually unknown or unappealing for most of the researchers currently working in the SNLP field, tries to find the reasons behind this decline, and proposes some guidelines on what could be done to reverse it and make FS assume a relevant role in SNLP.

Full Text
Published version (Free)

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 call