A Computational Investigation on Denominalization
This work addresses a linguistic evolution problem for researchers, but it appears incremental as it applies computational modeling to an existing area without clear novel findings.
The paper tackles the problem of identifying patterns in how nouns become verbs over time, aiming to find common requirements for this linguistic change, but does not report specific results or numbers.
Language has been a dynamic system and word meanings always have been changed over times. Every time a novel concept or sense is introduced, we need to assign it a word to express it. Also, some changes have happened because the result of a change can be more desirable for humans, or cognitively easier to be used by humans. Finding the patterns of these changes is interesting and can reveal some facts about human cognitive evolution. As we have enough resources for studying this problem, it is a good idea to work on the problem through computational modeling, and that can make the work easier and possible to be studied on large scale. In this work, we want to study the nouns which have been used as verbs after some years of their emergence as nouns and find some commonalities among these nouns. In other words, we are interested in finding what potential requirements are essential for this change.