نتایج جستجو برای: Natural semantic metalanguage (NSM)
تعداد نتایج: 576549 فیلتر نتایج به سال:
The Natural Semantic Metalanguage (NSM) Approach claims that there are some universalities in all languages. Speech acts seem to be present in all languages, but considering this approach, research has not indicated whether request speech act differs from one language to another. Thus, this study intended to investigate whether request strategies are used differently in English and Persian roma...
The Natural Semantic Metalanguage (NSM) Approach claims that there are some universalities in all languages. Speech acts seem to be present in all languages, but considering this approach, research has not indicated whether request speech act differs from one language to another. Thus, this study intended to investigate whether request strategies are used differently in English and Persian roma...
language must be studied as a social behavior and the aim of language instruction must be to facilitate learners’ acquisition of communicative competence; the ability to speak both accurately and appropriately. rules of speaking must be included into second language classroom teaching. we should teach linguistic rules along with social rules. in this study a number of social functions in persia...
This study aims to analyze words in Dari that have the same semantic prime: See using Natural Semantic Metalanguage (NSM). research was conducted a descriptive qualitative approach.This reaserch used theory by Goddard and Wierzbicka about NSM. The data found this are connected associated with prima See/Didan language. sources of 5 informants who original prosecutors from Kabul which is capital ...
This study is an attempt to carry out a comparative analysis using Natural Semantic Metalanguage (henceforth NSM). The offering routine patterns of native Persian speakers was compared with that of Native American English speakers to see if it can provide evidence for applicability of NSM model which is claimed to be universal. The descriptive technique was the cultural scripts approach, using ...
Th is paper presents a cultural semantic analysis of the Japanese emotion terms ‘haji’ and ‘hazukashii’, made using the methodology of the Natural Semantic Metalanguage (NSM). Th e paper has three aims: (i) to pinpoint the conceptions of ‘haji’ and ‘hazukashii’ as emotion terms in Japanese language and culture; (ii) to highlight the diff erences in meaning with their typical English translation...
This article addresses the question of the relevant conceptualization of «altruism» in Russian from the perspective sociological research operationalization. It investigates the spheres of social application of the word «altruism», include Russian equivalent «vzaimopomoshh`» (mutual help). The data for the study comes from Russian National Corpus (Russian). The theoretical framework consists of...
In this paper, the author proposes Natural Semantic Metalanguage (NSM) semantic decompositions of four difficult-to-translate quranic Arabic words using (Goddard Wierzbicka 2014, 2021). This is first study to propose an explicit explication these core Islamic lexical items, which are foundational for spiritual worldview almost two billion followers Islam in world today. The word considered ras?...
We apply the Natural Semantic Metalanguage (NSM) approach (Goddard & Wierzbicka 2014) to the lexical-semantic analysis of English evaluational adjectives and compare the results with the picture developed in the Appraisal Framework (Martin & White 2005). The analysis is corpus-assisted, with examples mainly drawn from film and book reviews, and supported by collocational and statistical informa...
Natural disasters, such as what are known in English ‘floods’ and ‘wildfires’, increasingly a topic of concern due to the climate emergency, their vocabulary public discourses hold much be explored through linguistics. This article inaugurates examination discourse about extreme weather events semantically-enhanced studies, an approach which is based on Semantic Metalanguage (NSM) developed her...
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