Using Corpus Pattern Analysis (CPA) To Recognize Meanings of Zadan

Document Type : Research

Authors

1 Professor of Linguistics, University of Tehran, Iran,

2 PhD candidate in Linguistics, University of Tehran, Iran

Abstract

With the advent of huge corpora in recent decades, there has appeared a tendency among researchers to utilize them in lexicography. According to Miller (2018), a major issue involved in Persian lexicography is the presence of light verbs. The present study sought to address the issue using corpora and methods of computational lexicography.
A light verb is in fact a complex predicate composed of two or more predicate elements: a semantic light verb and a second component (including a noun, an adjective, or a prepositional phrase). In Persian, there are 150 to 200 full verbs, and other verb-related ideas are expressed by light verbs, which explains why they are of such great significance in the language. Light verbs have been investigated from different aspects including compoundability, separability, and syntactic structure. The present function-oriented research, however, was based exclusively on data extracted from a corpus.

Keywords

References

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ZABANPAZHUHI (Journal of Language Research)
Volume 14, Issue 45
January 2023
Pages 151-176

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