scholarly journals Zur Ikonizität deutscher Zwillingsformeln

2017 ◽  
Vol 81 (2) ◽  
Author(s):  
Agnieszka Gaweł
Keyword(s):  
Linear Order ◽  
Corpus Analysis ◽  
Linguistic Units

In this paper we present a corpus analysis of the influence of sequential iconicity on the linear order of German irreversible binomials. The analysis provides evidence for the thesis that semantic and pragmatic factors determining the linear order of binomials can be interpreted as examples of sequential iconicity which subsumes several cases of iconic coding: the linear order of linguistic units reflecting the structure of the extralinguistic reality, the cognitive pro-cesses and the sociocultural coding.

scholarly journals Correlation between expressiveness and syntactic independence of Russian onomatopoeic verbal interjections

2018 ◽  
Vol 21 ◽  
pp. 15-30 ◽  
Author(s):  
Oksana Kanerva
Keyword(s):  
Statistical Model ◽  
Spoken Language ◽  
Corpus Analysis ◽  
Communicative Intention ◽  
Linear Statistical Model ◽  
Host Construction ◽  
Log Linear ◽  
Linguistic Units

This article considers Russian onomatopoeic verbal interjections due to the fact that these linguistic units possess a unique grammatical feature of being either completely syntactically independent or act as members of sentence, depending on the context and speaker’s communicative intention. Moreover, there is ambiguity concerning their expressiveness. In some cases they are prosodically foregrounded and have reduplicated morphemes, in others no pauses in speech separate them from the host construction and no expressive morphology is demonstrated. This research aims at establishing correlation between prosodic/morphological expressiveness and syntactic independence of Russian onomatopoeic verbal interjections with the help of a statistical model. Firstly, corpus analysis of data from the Russian Corpus of Spoken Language is applied examine expressiveness of these linguistic units, as well as to investigate their syntactic independence. Finally, a Log-Linear Statistical Model is applied to establish dependencies between absence/presence of these three features and to determine which ones of them have significant correlations.

Fighting words: a corpus analysis of gender representations in sports reportage

Corpora ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. 27-52 ◽  
Author(s):  
Laura L. Aull ◽  
David West Brown
Keyword(s):  
Women Athletes ◽  
Textual Analysis ◽  
Corpus Analysis ◽  
Gender Representations ◽  
Sports Media

In this study, we explore linguistic constructions of gender in US sports reportage concerning two related basketball altercations: the Pacers–Pistons NBA fight in 2004 and the Shock–Sparks WNBA fight in 2008. We use a combined corpus and qualitative textual analysis to investigate coverage from the days immediately following the fights and to compare that coverage to sports reportage more generally. Our analysis reveals key differences in narrative focus; for example, that NBA coverage is most interested in blame assignation in the isolated event, while WNBA coverage concerns gender and the league writ large. Such patterns, which are realised linguistically in both explicit and implicit ways, contribute to the ‘othering’ of women and women athletes in the increasingly important sports-media-commercial complex.

A Corpus Analysis of the Preposition of in Korean College Matriculants’ Writing

2015 ◽  
Vol 70 (3) ◽  
pp. 99-115 ◽  
Author(s):  
나지영 ◽  
Yoo Isaiah Wonho
Keyword(s):  
Corpus Analysis

ICERD in Malaysian online news reports: A cross-linguistic comparative corpus analysis

2019 ◽  
Vol 3 (4) ◽  
pp. 51
Author(s):  
Siti Aeisha Joharry ◽  
Nor Diyana Saupi
Keyword(s):  
Comparative Analysis ◽  
Public Discourse ◽  
Online News ◽  
Corpus Analysis ◽  
Search Term ◽  
International Convention ◽  
Online Newspapers ◽  
News Reports ◽  
The Media ◽  
Online Sources

The International Convention for the Elimination of Racial Discrimination (ICERD), which was not ratified in Malaysia, created a heated public discourse in the media. This cross-linguistic comparative study investigates the representation of ICERD in Malaysian news reports of two online sources in Malaysia – the widely read English portal: The Star Online, and its Malay equivalent: Berita Harian. A corpus-assisted discourse analysis was conducted to examine how news on ‘ICERD’ were reported in both English and Malay online newspapers. Initial comparative analysis of both newspapers revealed that the search term co-occurs statistically more frequently with the verb ‘ratify’ and its equivalent: ‘meratifikasi’. Patterns indicate that ‘ICERD’ was mostly referring to the act of sanctioning the agreement –particularly to ‘not ratify’ or ‘tidak akan meratifikasi’, which is concurrent with the timeframe of events. Interestingly, different patterns can be found in Berita Harian (e.g. the expression of ‘thanks’ or gratitude of not ratifying ICERD) that are not as revealing in The Star Online reports. Some inconsistencies were also reported between the two newspapers, e.g. referring to different ministers’ speech about the initial plan to ratify ICERD alongside five (The Star Online) or six (Berita Harian) other treaties in the following year.  

MEDIATEXT IS A TOOL THAT DETERMINES THE QUALITY OF INFORMATION

2020 ◽  
Vol 6 (3) ◽  
pp. 158-164
Author(s):  
Navruza Yakhyayeva ◽  
Keyword(s):  
Functional Properties ◽  
Linguistic Features ◽  
Text Linguistics ◽  
Quality Of Information ◽  
The Creation ◽  
Linguistic Units ◽  
Scientific Classification

The quality and content of information in the article media text is based on scientific classification of linguistic features. The study of functional styles of speech, the identification of their linguistic signs, the discovery of the functional properties of linguistic units and their separation on the basis of linguistic facts is one of thetasks that modern linguistics is waiting for a solution. Text Linguistics, which deals with the creation, modeling of its structure and the study of the process of such activity, is of interest to journalists today as a science.

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