scholarly journals Ways to quantify of abstract nouns in the modern Erzya language

2021 ◽  
Vol 13 (3) ◽  
pp. 233-242
Author(s):  
Lyubov P. Vodyasova

Introduction. The article analyzes abstract nouns based on the material of the modern Erzya language, which in various contexts can be concretized, becoming the basis for the formation of their plural. These lexemes begin to express a real quantitative meaning, in other words, they acquire the ability to quantify. The purpose of the article is to identify and describe the contexts in which abstract plural nouns denote quantifiable relations. Materials and Methods. The main method is structural-semantic description, used for direct observation of contexts when abstract nouns express quantitative relations. The material of the study is based on 1 500 examples extracted from the texts of Mordovian writers written their works in the Erzya language. Results and Discussion. It has been determined that in the modern Erzya language the plural forms of abstract nouns are capable of expressing quantitative relations in those cases when they denote a real quantitative meaning. It defines two quantification ways, namely: discrete way, which conveys the semantics of the internal quantity, is based on the peripheral components of the abstract noun, and unitary way, which expresses the semantics of the external quantity, based on the central components of the abstract lexeme. The main contexts are briefly characterized, when abstract nouns denote quantifiable relations. Conclusion. In the modern Erzya language abstract nouns that have the ability to quantify, carried out discretely or unitarily are often encountered. The contexts with such nouns are often found in the texts of Mordovian writers, who use them as a source of speech expression, a means of creating artistic expression, shaping, interpreting and evaluating images and events.

2015 ◽  
Vol 3 (1) ◽  
pp. 178-190
Author(s):  
Holguer Romero

La naturaleza produce una serie de sonidos, que al analizarlos en su habitad, representan un encanto especifico, el viento, las olas, un rio, una cascada, el movimiento de los arboles por el viento, el cantico de las aves; sonidos que el hombre a intentado reproducir con ayuda de instrumentos inventados por el, para crear la música, cada época, cada grupo social y cultural modifican los sonidos, los combina, para crear el arte musical, para satisfacer las necesidades de un grupo, o como inspiración en base a la necesidad de expresión artística única. Estos sonidos representados han producido influencia en los animales y en los seres humanos, inclusive las plantas, el propósito de este artículo es estudiar el efecto de la música en la conducta del adolescente. Dentro de los objetivos de la investigación, se demuestra como la música influye en la conducta de los adolescentes; en sus efectos emocionales, reminiscencias, como herramientas de socialización, desarrollo del apego intrafamiliar, modificación de la capacidad intelectiva. En la descripción de la muestra para la investigación se cuenta con una población de 317 estudiantes adolescentes, donde se utiliza la observación directa, análisis explicativo correlacional, cuantitativo y cualitativo, mediante la aplicación de encuestas y experimentación. AbstractNature produces a series of sounds which when analyzed in their habitat, represent a specific charm, wind, waves, a river, a waterfall, trees moving in the wind, the song of birds; sounds that man tried to play using invented by instruments to create music, every age, every social and cultural group modify sounds, combined to create the musical art, to meet the needs of a group, or inspiration based on the need for unique artistic expression. These sounds have been represented influence on animals and human beings, including plants, the purpose of this article is to study the effect of music on adolescent behavior. Among the objectives of the research, it is shown how music influences the behavior of adolescents; in their emotional effects, reminiscences, as tools of socialization, development of domestic attachment, modification intellectual capacity. In the description of the research shows it has a population of 317 adolescent students, where direct observation is used, correlational quantitative and qualitative explanatory analysis, by conducting surveys, and experimentation.


1991 ◽  
Vol 18 (2) ◽  
pp. 417-434 ◽  
Author(s):  
Betty McGhee-Bidlack

ABSTRACTDefining is a metalinguistic skill. This study charts the development of the ability to define. A total of 120 participants (40 at each of the ages of 10, 14 and 18 years) defined eight concrete and eight abstract nouns. Each definition was coded to identify the types of responses present in it. Results indicate that there are significant differences in the way concrete and abstract nouns are defined. All three age-groups defined concrete nouns mainly by class and characteristic responses. But it was not until age 18 that abstract nouns were defined by class and characteristic responses. The development of abstract noun definitions follows the development of concrete noun definitions. The ability to define is dependent upon knowledge of the meaning of the word but it is also dependent upon implicit or explicit knowledge of the definitional form. The ability to define abstract nouns is a late developing metalinguistic skill.


Sentiment Analysis (SA) is a popular field in Natural Language Processing (NLP) which focuses on the human emotions by analyzing the lexical and syntactic features. This paper presents an efficient method to find and extract the strong emotions for the sentiment classification using the proposed hybrid Convolutional Neural Networks - Global Vectors - Complex Sentence Searching - ABstract Noun Searching (CNN-GloVe-CSS-ABNS) model. The strong emotions are mostly found in the abstract nouns than the adjectives and adverbs present in the sentences. This research aims in extracting the complex sentences with abstract nouns for the sentiment classification from the twitter data. To extract the complex sentences, the proposed Complex Sentence Searching (CSS) algorithm was used. On the other hand, another proposed algorithm named, ABstract Noun Searching (ABNS) algorithm was used for identifying the abstract nouns in the sentences based on their position in the sentences. The results of this study presents that the proposed CNN-GloVe-CSS-ABNS model outperforms the other proposed models as well as the existing models, by producing an of accuracy 94.87 per cent in sentiment classification.


1947 ◽  
Vol 67 ◽  
pp. 46-67 ◽  
Author(s):  
Victor Ehrenberg

Πολυπραγμοσύνη and its opposite ἀπραγμοσύνη are typical abstract nouns of the fifth century, indicating human qualities, comparable to words like δικαιοσύνη and σωφροσύνη. There is, however, one thing peculiar to our two words: they are opposite extremes, but there is nothing between them. There is no πραγμοσύνη. Simple action (πρᾶξις), we may assume, does not easily reveal a man's character. It is only when he acts ‘much’ or ‘not at all,’ that a conclusion can be drawn as to his own nature. The psychological aspect is paramount, more than in words like δικαιοσύνη or σωφροσύνη which also represent an idea. As so frequently happens in psychology, it is the contrast which illuminates either particular quality. We can perhaps go one step further and assume that conceptions like these are more likely than not to spring from a rational and conscious awareness of real phenomena, while for instance δικαιοσύνη, although it is the abstract noun belonging to δίκαιος, at the same time originates from the desire to give a name to the abstract idea which dominates the world of δίκη). There is no ‘idea,’ there are only psychological facts, in ‘busybodiness.’This ugly and unwieldy English word makes it plain that—at least in English—the concrete rather than the abstract noun belongs to ordinary speech, the man rather than the quality. The ‘busybody’ is indeed a type which, though little loved, is deeply rooted in the English mind, and this is undoubtedly the legitimate translation of πολυπράγμων


2018 ◽  
Vol 8 (2) ◽  
pp. 32-41
Author(s):  
Maria João Machado ◽  
João Gomes

This article has the following specific objectives: to identify the reasons for implementing SAP ERP; to identify the main benefits and problems resulting from its adoption; to understand in what way accounting is integrated in SAP ERP; to analyse how SAP ERP influences the accountants' role. The chosen method of investigation was the descriptive case study, with recourse to various sources of data collection. These were: semi-structured interviews as the main method of data collection; direct observation; and document collection. This article's main contributions are the following: the resistance to change phenomenon, suggested by theory as a major problem in ERPs implementation, was not found; SAP ERP does not allow all of the accounting objectives to be achieved, making the use additional software a necessity due to its lack of flexibility and the need for specialized technicians when any changes have to be made.


2005 ◽  
Vol 9 (2) ◽  
Author(s):  
Danièle Conso

SummaryPersonification is a process through which an inanimate entity appears as a fictitious character. This process might give rise to an allegory. It can be read in an either literal or figurative way. Personification indicates somebody's presence, whose only reality is its name, which is an abstract noun. Among those abstract nouns, only those indicating a favourably or unfavourably connotated notion can be personified. Through personification, the abstract noun loses its diathetic ambiguity and "referential dependance". It becomes a proper noun of a peculiar kind, for it is Justified. Personification does not transform abstract into concrete, but only what is abstract and inanimate into abstract and animated. It does not refer to any peculiar concrete experience, but only to a common cultural tradition.


Author(s):  
Christy Daniel ◽  
◽  
Shyamala Loganathan ◽  

Multi-class classification of sentiments from text data still remains a challenging task to detect the sentiments hidden behind the sentences because of the probable existence of multiple meanings for some of the texts in the dataset. To overcome this, the proposed rule based modified Convolutional neural network-Global Vectors (RCNN-GloVe) and rule-based modified Support Vector Machine - Global Vectors (RSVM-GloVe) were developed for classifying the twitter complex sentences at twelve different levels focusing on mixed emotions by targeting abstract nouns and adjective emotion words. To execute this, three proposed algorithms were developed such as the optimized abstract noun algorithm (OABNA) to identify the abstract noun emotion words, optimized complex sentences algorithm (OCSA) to extract all the complex sentences in a tweet precisely and adjective searching algorithm (ADJSA) to retrieve all the sentences with adjectives. The results of this study indicates that our proposed RCNNGloVe method used in the sentiment analysis was able to classify the mixed emotions accurately from the twitter dataset with the highest accuracy level of 92.02% in abstract nouns and 88.93% in adjectives. It is distinctly evident from the research that the proposed deep learning model (RCNN-GloVe) had an edge over the machine learning model (RSVM-GloVe).


2013 ◽  
pp. 149-168
Author(s):  
Ruselina Nicolova

The paper reviews the formal and semantic characteristics of the formation of diminutives in Bulgarian, where the process affects nouns, adjectives, numerals, adverbs, verbs and pronouns. The derivation of diminutives from abstract nouns is analyzed on the basis of material excerpted from blogs and forums in the Bulgarian Google, in which significant activation of the process in the language practices of young speakers is observed. The factors which facilitate or constrain the derivation of diminutives from abstract nouns are studied, as well as the semantic interaction between diminutive suffixes and certain semantic components (both denotative and connotative) of base words.


Author(s):  
R. W. Anderson ◽  
D. L. Senecal

A problem was presented to observe the packing densities of deposits of sub-micron corrosion product particles. The deposits were 5-100 mils thick and had formed on the inside surfaces of 3/8 inch diameter Zircaloy-2 heat exchanger tubes. The particles were iron oxides deposited from flowing water and consequently were only weakly bonded. Particular care was required during handling to preserve the original formations of the deposits. The specimen preparation method described below allowed direct observation of cross sections of the deposit layers by transmission electron microscopy.The specimens were short sections of the tubes (about 3 inches long) that were carefully cut from the systems. The insides of the tube sections were first coated with a thin layer of a fluid epoxy resin by dipping. This coating served to impregnate the deposit layer as well as to protect the layer if subsequent handling were required.


Author(s):  
John M. Wehrung ◽  
Richard J. Harniman

Water tables in aquifer regions of the southwest United States are dropping off at a rate which is greater than can be replaced by natural means. It is estimated that by 1985 wells will run dry in this region unless adequate artificial recharging can be accomplished. Recharging with surface water is limited by the plugging of permeable rock formations underground by clay particles and organic debris.A controlled study was initiated in which sand grains were used as the rock formation and water with known clay concentrations as the recharge media. The plugging mechanism was investigated by direct observation in the SEM of frozen hydrated sand samples from selected depths.


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