Noun Derivatives from Verbs: Corpus Word-Formation Productivity and Grammatical Description

  • Nataša Logar
Keywords: word-formation, productivity, H. Baayen, suffix, derivative, grammar, corpus, word-formation, productivity, H. Baayen, suffix, derivative, grammar, corpus

Abstract

This paper discusses the understanding of word-formation productivity, as was founded by Harald Baayen at the end of the 1980s and in the early 1990s. Baayen’s method of calculating productivity P is based on corpus linguistics methodology, therefore by using data from the Kres corpus, a corpus of written Slovene, we tested the method on the following ten Slovene suffixes, which all form noun derivatives from verbs (gender: masculine, meaning: human agent): -vec, -telj, -ež, -uh, -avh, -ar, -lec, -ač, -aj, and -ant. Among other findings, one was indicative: the number of derivatives with a certain suffix, and the productivity P of that same suffix could be (quite) diverse. For example: the suffix that had the largest number of derivatives was -lec, while the suffix -ež had the highest P score. On the basis of the data from the corpus, we then presented a list of the ten aforementioned suffixes along with example derivatives, i.e. the list, that could be part of a new grammar of Slovene. We also briefly commented on it and then, in the final discussion, pointed out some advantages and disadvantages of the approach presented.

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Published
2019-01-31
How to Cite
Logar, N. (2019). Noun Derivatives from Verbs: Corpus Word-Formation Productivity and Grammatical Description. Slovenščina 2.0: Empirical, Applied and Interdisciplinary Research, 6(2), 96-126. https://doi.org/10.4312/slo2.0.2018.2.96-126