Concept of word freedom and its essence

2021 ◽  
Vol 10 (4) ◽  
pp. 1018-1021
Author(s):  
Oripov Khasan Abdivakhobovich
Keyword(s):  
2020 ◽  
Vol 3 (4) ◽  
pp. 518
Author(s):  
Risky Ramadhan

Language is tool that use by human for communicate, and as tool to support them as social creature. Language is used by human every day in every situation, that make language become interesting phenomenon. During learning and teaching process that happen in class researcher find out the phenomenon that student use word “sorry” in context of asking permission not context for asking apology or expressing sympathy based on . Methodology of this research is qualitative with descriptive design. The instrument that use is observation, researcher is do observation in classroom activity on the class , and data is find from utterance that make by student during classroom activity. The result of this research most of student use word “sorry” in context of asking permission not for asking apologize. To understand the bigger concept of word sorry better to use bigger subject in research.


2015 ◽  
Vol 50 (4) ◽  
pp. 483-497 ◽  
Author(s):  
Heidi Anne E. Mesmer ◽  
Thomas O. Williams
Keyword(s):  

2019 ◽  
Vol 48 (2) ◽  
pp. 142-153 ◽  
Author(s):  
Axel SCHUESSLER

Abstract This response to Fellner and Hill defends the concept of word family and allofam.


2018 ◽  
Vol 22 (3) ◽  
pp. 209-224 ◽  
Author(s):  
Jing Chen ◽  
Tzu-Jung Lin ◽  
Yu-Min Ku ◽  
Jie Zhang ◽  
Ann O’Connell
Keyword(s):  

2014 ◽  
Vol 25 (2) ◽  
pp. 313-340 ◽  
Author(s):  
Mario Brdar ◽  
Rita Brdar-Szabó

AbstractIn a recent paper published in this journal, Laura Janda makes a number of claims about metonymy, specifically about metonymy in word-formation as part of grammar. In a nutshell, what she says is that suffixed nouns such as Russian saxarnica (from saxar ‘sugar’) ‘sugar bowl’, Czech břicháč (from břicho ‘belly’) ‘person with a large belly’, or Norwegian baker ‘baker’, are metonymic extensions from saxar ‘sugar’, břicho ‘belly’, and bake ‘bake’, respectively. It is our contention that this claim about metonymy being involved in word-formation phenomena such as suffixation is misconceived and leads to an overuse of the term ‘metonymy’. We first comment on Janda's views on cognitive linguistic research on metonymy in grammar and word-formation, and then evaluate the evidence that she provides to support her central claim – from some general claims about metonymy and grammar to the way she identifies metonymy in word-formation. Finally, we point out a series of problems ensuing from the concept of word-formation metonymy. The analytical parts of Janda's article are in our view a more or less traditional cross-linguistic inventory of suffixation patterns that do not exhibit metonymy as such. However, some genuine metonymies that crop up among her examples are glossed over. In other words, we claim that her analysis ignores metonymies where they appear and postulates metonymies where they do not exist.


2019 ◽  
Vol 50 (1) ◽  
pp. 1-24
Author(s):  
Gee Y Lee ◽  
Scott Manski ◽  
Tapabrata Maiti

AbstractIn insurance analytics, textual descriptions of claims are often discarded, because traditional empirical analyses require numeric descriptor variables. This paper demonstrates how textual data can be easily used in insurance analytics. Using the concept of word similarities, we illustrate how to extract variables from text and incorporate them into claims analyses using standard generalized linear model or generalized additive regression model. This procedure is applied to the Wisconsin Local Government Property Insurance Fund (LGPIF) data, in order to demonstrate how insurance claims management and risk mitigation procedures can be improved. We illustrate two applications. First, we show how the claims classification problem can be solved using textual information. Second, we analyze the relationship between risk metrics and the probability of large losses. We obtain good results for both applications, where short textual descriptions of insurance claims are used for the extraction of features.


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