scholarly journals ASPECTUAL TRIPLETS OF THE RUSSIAN VERB IN DIACHRONY: EVIDENCE FROM THE RUSSIAN NATIONAL CORPUS

2020 ◽  
Author(s):  
E. V. Gorbova ◽  
Keyword(s):  
Explanatory Power ◽  
Classification Model ◽  
Component Model ◽  
Lexical Aspect ◽  
Grammatical Aspect ◽  
Working Hypothesis ◽  
Russian Verb ◽  
Two Component ◽  
Russian Aspect ◽  
National Corpus

The paper deals with the so-called aspectual triplets of the Russian verb. Based on the data from the Russian National Corpus, it proposes a diachronic method to study triplets as well as a two-component model of the Russian aspect as an alternative to the traditional word-based classification model. The first component of the model is a morphological mechanism of the imperfectivizing suffixation of prefixed verbs that is inflectional (ras-kry-t’PFV — ras-kryva-t’IPFV2 ‘disclose, reveal’), but has a limited scope of action (prefixed verbs only). The second component of the model is the actionality (lexical aspect) with a maximal scope. Related to the verb class as a whole, it is especially crucial for non-prefixed simplexes. Actionality enables the functioning and perfective / imperfective characterization of simplexes which do not fall under the inflectional grammatical aspect. The analysis of ten biimperfective triplets resulted in several observations and conclusions. One of them concerns the role of a ‘joker’, which all imperfective simplexes (IPFV1) have in the aspectual triplets as (quasi)synonyms for corresponding secondary imperfectives (IPFV2). A working hypothesis on the predominance of IPFV1 over PFV in every triplet, based on the broader polysemy of the former, has not been confirmed. However, the two-component model has explanatory power for the cases of reverse frequency (PFV over IPFV1) through its lexical aspect component. Another working hypothesis on a possible increase or a decrease in the number of secondary imperfectives in diachrony was partially confirmed — an increase was noted for the 20/21st century.

Imperfectivability of Russian prefixal perfectives: Regularity and peculiarities

2021 ◽  
pp. 91
Author(s):  
Elena V. Gorbova
Keyword(s):  
Search Engine ◽  
Russian Language ◽  
Component Model ◽  
Average Level ◽  
Two Component ◽  
Russian Aspect ◽  
The Russian Language ◽  
National Corpus

The article provides the results of the study of the imperfectivability (the possibility of suffixal imperfectivation) of Russian prefixed verbs listed according to the Dictionary of the Russian Language. Each monosemic lexeme from the sample was aligned with its imperfective correlate (IPFV2) according to three sources: Yevgenieva’s dictionary, Russian National Corpus (ruscorpora.ru), Google and Yandex Search Engine Results pages (Runet). The results revealed that the average level of the imperfectivability of Russian prefixed verbs rounded to integers lies in the range of 77 % (according to the dictionary data) to 92 % (when taking into account unconventional IPFV2s encountered in RNC and the Russian-language Internet) according to maximal samples, while the minimal samples demonstrated a 80 % to 94 % average imperfectivability level. Thus, the suffixal imperfectivation meets the requirement of regularity of an inflectional category even on the level of a normative dictionary. Moreover, when the RNC and Runet data are also considered, the compliance with the regularity requirement becomes obvious. In addition to assessing the average level of imperfectivability, the paper describes suffixal imperfectivation of specialized subcategories of verbs within prefixal groups, such as denominatives, perfectives formed from perfective simplex stems, verbs ending in -i(zi)rovat’, morphologically marked Aktionsarten and verbs with the suffix -(a)nu-. The acquired results confirm descriptive adequacy of the two-component model of Russian aspect. According to this model, aspect is an inflectional category realized exclusively through suffixal imperfectivation and limited to prefixal verbs (the first component), while actionality is the foundation and explanation for imperfective (and, less frequently, perfective) functioning of simplex verbs (the second component).

Radiometric Chronology of Neh–nar Glacier, Kashmir

1982 ◽  
Vol 28 (98) ◽  
pp. 91-105 ◽  
Author(s):  
V. N. Nijampurkar ◽  
N. Bhandari ◽  
C. P. Vohra ◽  
V. Krishnan
Keyword(s):  
Average Rate ◽  
Component Model ◽  
Vertical Profiles ◽  
Kashmir Valley ◽  
Movement Rate ◽  
Accumulation Zone ◽  
Core Samples ◽  
Surface Samples ◽  
Two Component

AbstractSurface and core samples of Neh–nar Glacier in the Kashmir Valley have been analysed for the radionuclides 32Si. 210Pb, 40K, and 137Cs. The lateral and vertical profiles (at an altitude of about 4 140 m) reveal:(1)32Si activity decreasing slowly from the accumulation zone to 4 050 m altitude and then abruptly towards the snout.(2)Five zones of alternating high and low 210Pb activity in the surface samples.(3)An horizon at between 2 and 3 m depth containing 210Pb activity above natural levels. This horizon is also associated with 137Cs and a maximum in total ß activity.The ice samples have been dated on the basis of a simplified two–component model, the “fresh“contribution determined by 2l0Pb and the old component by 32Si. The following conclusions can be drawn from these observations:(1)The model age of the snout ice is c. 850 years.(2)The average rate of ice movement in the lower glacier is about 2 m/year, which compares well with the annual movement rate of 2.65 m/year observed since 1974.

scholarly journals Estimation of Galactic Model Parameters by Interval Method

1996 ◽  
Vol 169 ◽  
pp. 713-714
Author(s):  
S. A. Kutuzov
Keyword(s):  
Mutual Interaction ◽  
Component Model ◽  
Model Parameters ◽  
Interval Method ◽  
Two Component ◽  
The Galaxy ◽  
Galactic Model

The interval method of estimating model parameters (MPs) for the Galaxy was suggested earlier (Kutuzov 1988). Intervals are proposed to be used both for observational estimates of galactic parameters (GPs) and for the values of MPs. In this work we consider a model as a tool for studying mutual interaction of GPs. Two-component model is considered (Kutuzov, Ossipkov 1989). We have to estimate the array P of eight MPs.

scholarly journals A Two‐Component Model for the Light Curves of Hypernovae

2003 ◽  
Vol 593 (2) ◽  
pp. 931-940 ◽  
Author(s):  
Keiichi Maeda ◽  
Paolo A. Mazzali ◽  
Jingsong Deng ◽  
Ken’ichi Nomoto ◽  
Yuzuru Yoshii ◽  
...  
Keyword(s):  
Light Curves ◽  
Component Model ◽  
Two Component

Two-Component Model of Chemyon-Oriented Behaviors in Korea

2002 ◽  
Vol 33 (3) ◽  
pp. 332-345 ◽  
Author(s):  
Sang-Chin Choi ◽  
Suk-Jae Lee
Keyword(s):  
Component Model ◽  
Two Component

Rotation of a two-component model neutron star in the GTR

Astrophysics ◽  
1997 ◽  
Vol 40 (3) ◽  
pp. 260-266 ◽  
Author(s):  
D. M. Sedrakian
Keyword(s):  
Neutron Star ◽  
Component Model ◽  
Two Component

A Dynamic Interindustry Model for the Economic Analysis of Pollution Abatement

1974 ◽  
Vol 6 (3) ◽  
pp. 321-338 ◽  
Author(s):  
A Rose
Keyword(s):  
Linear Programming ◽  
Structural Changes ◽  
Environmental Control ◽  
Pollution Abatement ◽  
Primary Component ◽  
Component Model ◽  
Input Output ◽  
Two Component ◽  
Output System ◽  
Policy And Planning

A two-component model is presented for the analysis of the economic impact of pollution abatement. The primary component is a dynamic input-output system in which the structure of the economy is related to the level of environmental control as well as to time. A submodel, which consists of the various abatement activities within each industry, is used to explore the underlying nature of structural changes which take place as a result of changes in environmental regulations. The usefulness of the overall model for policy and planning purposes is illustrated by an example in which the submodel is transformed into a linear-programming format.

Two component model of microtubules and continuum approximation

2021 ◽  
Vol 152 ◽  
pp. 111352
Author(s):  
S. Zdravković ◽  
S. Zeković ◽  
A.N. Bugay ◽  
J. Petrović
Keyword(s):  
Component Model ◽  
Continuum Approximation ◽  
Two Component
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