Quantifying Number in the Noun Phrase
A Comparative Study Between English and Macedonian
Bibliographic Data
| ID | 22186165 |
|---|---|
| Authors | Aneta Naumoska (0000-0001-8734-2246, Saints Cyril and Methodius University of Skopje), Biljana Naumoska-Sarakinska (0000-0001-7657-9598, Saints Cyril and Methodius University of Skopje) |
| Year | 2024 |
| Volume | 8 |
| Issue | 1 |
| Publication date | 2024-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | European Journal of Literature Language and Linguistics Studies (JOURNAL) |
| Journal identifiers | ISSN: 2559-7914 • E-ISSN: 2559-7914 |
| Publisher | Open Access Publishing Group (PUBLISHER) |
| DOI | 10.46827/ejlll.v8i1.501 |
| OpenAlex | W4393070528 |
| Language | EN |
| References cited | 4 |
This paper discusses some of the theoretical insights for English gained by means of a contrastive analysis with Macedonian on the issue of grammatical/semantic number in the NP, with a particular focus on the features of partitivity, collectivity and distributivity reflected through marked external (grammatical) means. Quantifying the NP provides information on the fragmentation of the whole, togetherness of the whole (with non-determinedness of entities), or the individuality of each element of the whole. The quantitative characteristics are visible in the NP structure, while the syntactic relationships formally realize the connection between the quantity in the NP and semanticity. Through excerpted examples from authentic source materials (in English and Macedonian) and translations, it will be concluded that both languages have more commonalities than differences in the morphology and semantics of these features, although precision of language means is necessary to avoid miscommunication. Article visualizations
Determiner phrase · Linguistics · Macedonian · Natural language processing · Noun · Noun phrase · Phrase · Computer Science · Lexicography and Language Studies · Philosophy · Psychology · Second Language Acquisition and Learning · Syntax, Semantics, Linguistic Variation · Artificial Intelligence
| Highly cited | No |
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