scholarly journals THE GOAL AND ISSUES OF THE FORMAL DESCRIPTION OF ARMENIAN VOCABULARY AND CREATION OF THE ELECTRONIC DATABASE

2019 ◽  
Vol 2 (1(31)) ◽  
pp. 47-49
Author(s):  
Sargsyan M. A.
Keyword(s):  
Word Formation ◽  
Automatic Analysis ◽  
Formal Description ◽  
Frequency Data ◽  
Electronic Database ◽  
Regular Structures

The article is devoted to the goals and issues of formal description of Armenian word formation. Although recently formal description of the language has become more practical, it should be noted that the full formal description of the Armenian language has not been done yet. The author of the article states that the formal description of the Armenian vocabulary will enable to reveal as the regular structures, as well as the variative forms, deflections, and irregularities with frequency data with their automatic analysis and the possibility of derivation. It has an informative value, it can clarify and explain many problems in Armenian linguistics, and also can give much material for the further researches of Armenian grammar.

scholarly journals On the Electronic Database of the Armenian Word-Formation

2021 ◽  
pp. 56-65
Author(s):  
Meri Sargsyan
Keyword(s):  
Word Formation ◽  
Formal Description ◽  
Electronic Database ◽  
Great Opportunity ◽  
New Words ◽  
Regular Structures ◽  
Current Article ◽  
Complex Project ◽  
Further Development ◽  
Current Database

The formal description of the languages has become more and more practical; however, it should be noted that the full formal description of the Armenian language has not yet been done. However, the fact that certain attempts have been made is undeniable. The Electronic database of the Armenian word-formation (https://formlang.am/) is the first stage of the complex project in the full formal description of the Armenian language. In the current article, we want to present the advantages of the electronic database of the Armenian word-formation. The electronic database containing the word-formation analysis of thousands of words can search for words and morphemes within them. It means that searching for any root or affix appears all the simple, compound, derived and derived-compound words made up of them. It enables us to reveal the regular structures and the variative forms, deflections, and irregularities with frequency data with their automatic analysis and the possibility of derivation. The database gives a great opportunity to study the Armenian word-formation on synchronic and diachronic points, to discover the basic patterns of the formation of new words, by the thousands of examples to find out the principles and ways of word-formation in the Armenian language, to have the full list of the distinguished simple, compound, derived and derived-compound Armenian words. The current database has not only practical great value to involve the Armenian language in the domain of the modern informational technologies as the communicative mean, but also significant theoretical value to present the accurate description of the vocabulary structure. Thus, it will give an excellent perspective for solving the problems of theoretical linguistics and the practical -applied tasks. It can be significant for the further development of Armenology.

scholarly journals Formalna analiza albańskich derywatów przymiotnikowych

2015 ◽  
Vol 13 ◽  
pp. 125-148
Author(s):  
Artur Karasiński
Keyword(s):  
Formal Analysis ◽  
Word Formation ◽  
Definite Article ◽  
Formal Description ◽  
Language And Literature ◽  
Academy Of Sciences

Formal Analysis of Albanian Adjectival DerivativesThe paper presents a formal analysis of Albanian adjectival derivatives, carried out in accordance with the proposal of a formal description of word formation (part of methodology presented in Bulgarian-Polish Contrastive Grammar, Volume 9).This type of description in addition to a characterization of formal, segmental exponents of derivation allows for appearing and signalizing functions of Albanian definite article in word formation process.Analyzed material comes from the Dictionary of Contemporary Albanian Language (Institute of Language and Literature of the Albanian Academy of Sciences 1984, revised edition 2002) and is nearly 62% of all lexical adjectival units (about 6100 adjectival derivatives).

Lexical semantic and derivational features of the names of persons during the coronavirus pandemic

2021 ◽  
Vol 82 (1) ◽  
pp. 74-85
Author(s):  
A. V. Zelenin ◽  
T. N. Butseva
Keyword(s):  
Social Networks ◽  
Mass Media ◽  
Language Game ◽  
Word Formation ◽  
Electronic Database ◽  
Lexical Semantic ◽  
The Subject ◽  
Points Of View ◽  
Empirical Material

This article reviews the new lexical material related to the coronavirus pandemic. The empirical material was collected in the electronic database Integrum. The subject of the collected material are names of persons which were used in electronic mass media (newspapers, magazines, blogs, social networks). The volume of the lexical corpus is about 90 neolexemes. The collected corpus of innovations counts more than 600 words. The aim of the article is to describe the material from lexical and semantic, word-formation points of view, to demonstrate a language game.

scholarly journals From Sididoms to Coronapofigists (Names of Persons During the Coronavirus Pandemic)

2020 ◽  
Vol 81 (6) ◽  
pp. 97-106
Author(s):  
A. V. Zelenin ◽  
T. N. Butseva
Keyword(s):  
Medical Personnel ◽  
Spoken Language ◽  
Word Formation ◽  
Russian Language ◽  
Electronic Database ◽  
The Subject ◽  
Research Questions ◽  
Anglo American ◽  
The Russian Language ◽  
Empirical Material

This article reviews the new lexical material related to the coronavirus pandemic. The empirical material was collected in the electronic database Integrum. The subject of the collected material are names of persons which were used in electronic mass media (newspapers, magazines, blogs, social networks). The volume of the lexical corpus counts about 90 neolexemes, which makes up a significant part of the collected corpus of lexical, word-formation, semantic innovations in the Russian language. Presumably, their number may be more than 600. The following thematic groups are revealed: 1) coronavirus patients; 2) law-abiding citizens complied with quarantine requirements; 3) quarantine violators; 4) alarmists; 5) victims of the pandemic; 6) volunteers; 7) medical personnel; 8) legal Offenders; 9) children born between December 2020 and March 2021. In the analyzed material, there is graphical and orthographic variability, reflecting the spoken language in written texts; the grade of unification is rather low. The Innovations are: 1) direct borrowings (their number is not too big); 2) calques; 3) actualized lexemes (under the influence of Anglo-American words); 4) words appeared in the Russian language but inspired by the pandemic theme and the extraordinary situation of severe quarantine. Most of the lexical innovations are author’s individual words; the share of words belonging to conventional lexemes is about 20–30 ones. The research methods are derived from the research questions, i.e. systemic, classification, deductive, inductive ones.

Word-Formation in the World's Languages

2009 ◽  
Author(s):  
Pavol Stekauer ◽  
Salvador Valera ◽  
Livia Kortvelyessy
Keyword(s):  
Word Formation

Neural Network for Automatic Analysis of Motility Data

1994 ◽  
Vol 33 (01) ◽  
pp. 157-160 ◽  
Author(s):  
S. Kruse-Andersen ◽  
J. Kolberg ◽  
E. Jakobsen
Keyword(s):  
Neural Network ◽  
Muscular Activity ◽  
Recording System ◽  
Automatic Analysis ◽  
Biologically Relevant ◽  
System A ◽  
The Neural Network ◽  
Valuable Method ◽  
Motor Abnormalities ◽  
Trained Network

Abstract:Continuous recording of intraluminal pressures for extended periods of time is currently regarded as a valuable method for detection of esophageal motor abnormalities. A subsequent automatic analysis of the resulting motility data relies on strict mathematical criteria for recognition of pressure events. Due to great variation in events, this method often fails to detect biologically relevant pressure variations. We have tried to develop a new concept for recognition of pressure events based on a neural network. Pressures were recorded for over 23 hours in 29 normal volunteers by means of a portable data recording system. A number of pressure events and non-events were selected from 9 recordings and used for training the network. The performance of the trained network was then verified on recordings from the remaining 20 volunteers. The accuracy and sensitivity of the two systems were comparable. However, the neural network recognized pressure peaks clearly generated by muscular activity that had escaped detection by the conventional program. In conclusion, we believe that neu-rocomputing has potential advantages for automatic analysis of gastrointestinal motility data.

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