DOAJ Open Access 2022

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

Gholamhossein Karimi Doostan Arezoo Razani

Abstrak

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.

Topik & Kata Kunci

Penulis (2)

G

Gholamhossein Karimi Doostan

A

Arezoo Razani

Format Sitasi

Doostan, G.K., Razani, A. (2022). Using Corpus Pattern Analysis (CPA) To Recognize Meanings of Zadan. https://doi.org/10.22051/jlr.2021.33545.1940

Akses Cepat

Informasi Jurnal
Tahun Terbit
2022
Sumber Database
DOAJ
DOI
10.22051/jlr.2021.33545.1940
Akses
Open Access ✓