Ten serwis zostanie wyłączony 2025-02-11.
Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl
Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 2

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  neosemantism
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
|
|
nr 18
277-299
EN
The most important aim of this paper was to collect evaluative vocabulary used on the internet, on the assumption that such lexis is a constitutive characteristic of the internet variety of contemporary Polish. Therefore, the dictionary of terms collected by the author constitutes the major part of this work. It contains neologisms, colloquialisms, expressive terms and insults. The material was excerpted from two hundred comments posted on the internet portal Onet.pl. The comments refer to the articles concerning politics, celebrities and the controversial events which took place in Poland in September 2016. Many of the terms identified in the analysed comments are not recorded in contemporary lexicographic sources (e.g. Kim Dzong Khaczka and fapredaktorek). Their meanings can only be decoded with reference to the context in which they were used.
PL
The article discusses the definition of chronological corpora and lexical series generated thanks to them; moreover, it describes various conceptualizations of categories of time in corpus studies. Chronological corpora are defined in opposition to general and historical corpora. Time is presented in structural perspective (continuity, circularity), anthropological perspective (astronomical, cultural, political, civilizational time) and methodological perspective (models of time series analysis). Taking into account specificity of lexical and statistical data, a model of anomaly (catastrophe) expressed in sudden increase or decrease of lexeme frequency has been added to used models of sequential phenomena (linear trend, periodic oscillations and random variations). Basing on the analysis of lexical series, the method of automatic identification of potential keywords (they follow a model of anomaly) and neosemantisms (they follow a seriously disturbed model of a steady trend).
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.