scholarly journals Metajęzykowe oblicze ironii

2020 ◽  
Vol 45 (1) ◽  
Author(s):  
Ekaterina Starodworskaja

The paper deals with the problem of relations between verbal irony and metalinguistic features of the natural language. It is shown that the irony in the vast majority of situations involves the reaction to a real or imagined speech, which proceeds from the fact that the human mind, the main target of irony, is explicated in a manner making it possible to be examined and evaluated precisely in speech. The target of the irony is man, his intellectual abilities, ethic and aesthetic choices, his views and beliefs, while his speech (word, statement, text, manner of speaking) turns out to be the direct pretext for ironic utterance.

Author(s):  
Ekaterina Savitskaya ◽  

In the field of cognitive linguistics it is accepted that, before developing its capacity for abstract and theoretical thought, the human mind went through the stage of reflecting reality through concrete images and thus has inherited old cognitive patterns. Even abstract notions of the modern civilization are based on traditional concrete images, and it is all fixed in natural language units. By way of illustration, the author analyzes the cognitive pattern “сleanness / dirtiness” as a constituent part of the English linguoculture, looking at the whole range of its verbal realization and demonstrating its influence on language-based thinking and modeling of reality. Comparing meanings of language units with their inner forms enabled the author to establish the connection between abstract notions and concrete images within cognitive patterns. Using the method of internal comparison and applying the results of etymological reconstruction of language units’ inner form made it possible to see how the world is viewed by representatives of the English linguoculture. Apparently, in the English linguoculture images of cleanness / dirtiness symbolize mainly two thematic areas: that of morality and that of renewal. Since every ethnic group has its own axiological dominants (key values) that determine the expressiveness of verbal invectives, one can draw the conclusion that people perceive and comprehend world fragments through the prism of mental stereo-types fixed in the inner form of language units. Sometimes, in relation to specific language units, a conflict arises between the inner form which retains traditional thinking and a meaning that reflects modern reality. Still, linguoculture is a constantly evolving entity, and its de-velopment entails breaking established stereotypes and creating new ones. Linguistically, the victory of the new over the old is manifested in the “dying out” of the verbal support for pre-vious cognitive patterns, which leads to “reprogramming” (“recoding”) of linguoculture rep-resentatives’ mentality.


1978 ◽  
Vol 14 (2) ◽  
pp. 183-206 ◽  
Author(s):  
Geoffrey Sampson

I. Noam Chomsky turned the previously rather specialized discipline of linguistics into a subject of considerable general philosophical interest by his argument that the discovery of universal properties of natural language requires us to adopt a ‘nativist’ or ‘rationalist’ view of human mind – a view according to which ‘our systems of belief are those that the mind, as a biological structure, is designed to construct’ (Chomsky, 1976: 7). (I shall use the terms ‘nativism’ and ‘rationalism’ interchangeably in this article, since any difference we make between them is not important in the context of Chomsky's work. The truth is that, as with many philosophical ‘isms’, the two words do duty for a range of many more than two closely related, partly overlapping theses.) When Chomsky began publishing, a widespread attitude to human language was that expressed by Martin Joos (1957: 96): ‘languages [can] differ from each other without limit and in unpredictable ways’. Chomsky claims that this is false: to quote one of his favourite examples, it is perfectly possible to imagine a language which forms yes/no questions simply by reversing the order of the words in the corresponding statements, yet in fact no natural language has a rule remotely like this (even though this rule seems rather simpler, in an absolute sense, than many of the rules which are found in natural languages). Human languages differ in some respects, but in other respects they are all cut to a common pattern. Much of Chomsky's and his followers' work consists of formulating and testing increasingly refined hypotheses about the precise limits within which natural languages may vary.


2009 ◽  
pp. 158-175
Author(s):  
Pauli Brattico ◽  
Mikko Maatta

Automatic natural language processing captures a lion’s share of the attention in open information management. In one way or another, many applications have to deal with natural language input. In this chapter the authors investigate the problem of natural language parsing from the perspective of biolinguistics. They argue that the human mind succeeds in the parsing task without the help of languagespecific rules of parsing and language-specific rules of grammar. Instead, there is a universal parser incorporating a universal grammar. The main argument comes from language acquisition: Children cannot learn language specific parsing rules by rule induction due to the complexity of unconstrained inductive learning. They suggest that the universal parser presents a manageable solution to the problem of automatic natural language processing when compared with parsers tinkered for specific purposes. A model for a completely language independent parser is presented, taking a recent minimalist theory as a starting point.


Author(s):  
Matthew N.O. Sadiku ◽  
Yu Zhou ◽  
Sarhan M. Musa

Natural language processing (NLP)  refers to the process of using of computer algorithms to identify key elements in everyday language and extract meaning from unstructured spoken or written communication.  Healthcare is the biggest user of the NLP tools. It is expected that NLP tools should  be able to bridge the gap between the mountain of data generated daily and the limited cognitive capacity of the human mind.  This paper provides a brief introduction on the use of NLP in healthcare.


2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Oksidelfa Yanto

Abstract: The concept of Protection of Copyright Works Music In the realm of Intellectual Property Rights Law Of Crime of Piracy. Intellectual Property Rights or IPR is a right arising from a work produced by using human intellectual abilities for the benefit of the community, both in the fields of science, art, literature and technology. Object of intellectual property is created by the human mind. HKI is actually a system of recognition, award, legal protection and economic value for intellectual works that cover a wide range. One form of IPR that is copyright protected. For example, music, art, painting, photography, books, and so forth.   Abstrak: Konsep Perlindungan Hak Cipta Karya Musik Dalam Ranah Hukum Hak Kekayaan Intelektual Dari Tindak Pidana Pembajakan. Hak Kekayaan Intelektual atau HKI adalah hak yang timbul dari suatu karya yang dihasilkan dengan menggunakan kemampuan intelektual manusia yang bermanfaat bagi kehidupan masyarakat, baik di bidang ilmu pengetahuan, seni, sastra dan teknologi. Obyek Kekayaan Intelektual adalah hasil kreasi pikiran manusia. Secara aktual HKI merupakan satu sistem pemberian pengakuan, penghargaan, perlindungan hukum dan mempunyai nilai ekonomi bagi karya-karya intelektual yang mencakup jangkauan yang luas. Salah satu bentuk HKI yang dilindungi adalah hak cipta. Misalnya, musik, seni, lukisan, fotografi, buku dan lain sebagainya. DOI: 10.15408/jch.v2i1.2310


2021 ◽  
Vol 16 ◽  
pp. 283-288
Author(s):  
Kasım Tatlılıoğlu ◽  
Nadiia Senchylo-Tatlilioglu

Language acquisition is the process during which humans acquire the capacity to see, create and utilize words to get it and communicate. It includes the picking up of differing capacities involving language structure, phonetics, and a broad lexicon. Language development is thought to proceed by ordinary processes of learning in which children acquire the forms, meanings, and uses of words and utterances from the linguistic input. Language ability is an indispensable place among human intellectual abilities and language is considered to be the most important component of the human mind language development starts from the first cry until a child is able to speak a word. It includes the picking up of differing capacities involving language structure, phonetics, and a broad lexicon. Talking is like an action and it is shaped by motives of many kinds. As an interdisciplinary field, psycholinguistics in the world revealed at the intersection of psychology and linguistics in the 1950s. It is seen that studies on language development have increased in recent years. This study is describe how language  developed at the early childhood.


2005 ◽  
Vol 28 (5) ◽  
pp. 712-713 ◽  
Author(s):  
Daniel J. Povinelli ◽  
Jochen Barth

Tomasello et al. argue that the “small difference that made a big difference” in the evolution of the human mind was the disposition to share intentions. Chimpanzees are said to understand certain mental states (like intentions), but not share them. We argue that an alternative model is better supported by the data: the capacity to represent mental states (and other unobservable phenomena) is a human specialization that co-evolved with natural language.


Author(s):  
Senbagavalli M. ◽  
Sathiyamoorthi V. ◽  
D. Sudaroli Vijayakumar

Deep learning is an artificial intelligence function that reproduces the mechanisms of the human mind in processing records and evolving shapes to be used in selection construction. The main objective of this chapter is to provide a complete examination of deep learning algorithms and its applications in various fields. Deep learning has detonated in the public alertness, primarily as inspective and analytical products fill our world, in the form of numerous human-centered smart-world systems, with besieged advertisements, natural language supporters and interpreters, and prototype self-driving vehicle systems. Therefore, it provides a broad orientation for those seeking a primer on deep learning algorithms and its various applications, platforms, and uses in a variety of smart-world systems. Also, this survey delivers a precious orientation for new deep learning practitioners, as well as those seeking to innovate in the application of deep learning.


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