scholarly journals Scalar representations in the semantics of Japanese. From measurements to pragmatics –The case of dokoroka–

2019 ◽  
Vol 41 ◽  
pp. 32-42
Author(s):  
Szymon Grzelak
Keyword(s):  
Semantic Model ◽  
Common Scale ◽  
Scalar Properties

This study looks into the scalar properties exhibited by some grammaticalized (and subsequently pragmaticalized) expressions of Japanese that are lexically based on the noun tokoro ‘place’. In particular, the argument will be focused on a conjunctive particle p dokoroka q ‘q, let alone p’. In most cases, both p and q can be ascribed some pragmatically inferred scalar values reflecting gradable properties, but the assessment of such a common scale is difficult in some cases. We argue that such “non-scalar” instances of dokoro-ka, occurring in enumerations, can be represented as cardinalities in the semantic model.

Modelling of Semantic Processes and Evolutional Semantic Model

2019 ◽  
Vol 26 (27) ◽  
pp. 197-210 ◽  
Author(s):  
Anastasia Fedorova
Keyword(s):  
Key Words ◽  
Dynamic Models ◽  
Scientific Literature ◽  
Semantic Model ◽  
Vast Array ◽  
Special Procedure ◽  
Semantic Models ◽  
Semantic Evolution ◽  
Semantic Processes ◽  
The Way

In Linguistics the terms model and modelling have a vast array of meanings, which depends on the purpose and the object, and the type of the scientific research. The article is dedicated to the investigation of a special procedure of semantic processes modelling, deducing and substantiating the notion “evolutional semantic model”, the content and operational opportunities of which differ drastically from the essence and purpose of the known from the scientific literature phenomenon of the same name. In the proposed research this variety of modelling is oriented towards the description of the dynamics of the legal terms content loading, the estimation of possible vectors of the semantic evolution on the way of its terminalization/determinalization. The evolutional model of semantics has here as its basis the succession of sememes or series of sememes, the order of which is determined with accounting of a number of parameters. The typical schemes of the meaning development, illustrated by the succession of sememes, are considered to be the models of semantic laws (evolutional semantic models = EMS). Their function is the explanation of the mechanism and the order of the stages of the semantic evolution of the system of the words which sprung from one root on the way of its legal specialization, and, therefore, the proposed in the paper experience of semantic laws modelling differs from the expertise of the “catalogue of semantic derivations”, proposed by H. A. Zaliznjak, which doesn’t have as its purpose the explanation of meaning displacements, and from the notion of semantic derivation, models of derivation, dynamic models, worked out by O. V. Paducheva, which also only state such a displacement, without proving its reality. Key words: evolutional semantic model (EMS), modelling, semantic law, sememe, pre(law).

Commentary on “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale”

2020 ◽  
pp. 107699862095666
Author(s):  
Alina A. von Davier
Keyword(s):  
School District ◽  
Test Score ◽  
Applied Research ◽  
Aggregate Level ◽  
Validation Methods ◽  
Common Scale ◽  
Scale Linking ◽  
Score Distributions

In this commentary, I share my perspective on the goals of assessments in general, on linking assessments that were developed according to different specifications and for different purposes, and I propose several considerations for the authors and the readers. This brief commentary is structured around three perspectives (1) the context of this research, (2) the methodology proposed here, and (3) the consequences for applied research.

The new semantic model in ASIS for Ada 2005

2009 ◽  
Vol 29 (3) ◽  
pp. 127-132
Author(s):  
Jean-Pierre Rosen ◽  
Tucker Taft
Keyword(s):  
Semantic Model

scholarly journals A Semantic Model for Indexing in the Hidden Web

2021 ◽  
Vol 190 ◽  
pp. 324-331
Author(s):  
Larisa Ismailova ◽  
Viacheslav Wolfengagen ◽  
Sergey Kosikov
Keyword(s):  
Semantic Model ◽  
Hidden Web

Evaluation of Silica and Related Matrix Ion Effects on Common Scale Inhibitors

2021 ◽  
Vol 35 (3) ◽  
pp. 2144-2152
Author(s):  
Yue Zhao ◽  
Zhaoyi Dai ◽  
Xin Wang ◽  
Chong Dai ◽  
Samridhdi Paudyal ◽  
...  
Keyword(s):  
Common Scale ◽  
Ion Effects

scholarly journals ORFFM: An Ontology-Based Semantic Model of River Flow and Flood Mitigation

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 44003-44031
Author(s):  
Muhammad Hussain Mughal ◽  
Zubair Ahmed Shaikh ◽  
Asim Imdad Wagan ◽  
Zahid Hussain Khand ◽  
Saif Hassan
Keyword(s):  
River Flow ◽  
Flood Mitigation ◽  
Semantic Model

scholarly journals MMoOn Core – the Multilingual Morpheme Ontology

Semantic Web ◽  
2020 ◽  
pp. 1-29
Author(s):  
Bettina Klimek ◽  
Markus Ackermann ◽  
Martin Brümmer ◽  
Sebastian Hellmann
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Semantic Model ◽  
Lexical Resources ◽  
Domain Specific ◽  
Word Forms ◽  
Language Data ◽  
Core Ontology ◽  
Machine Readable ◽  
Rapid Emergence

In the last years a rapid emergence of lexical resources has evolved in the Semantic Web. Whereas most of the linguistic information is already machine-readable, we found that morphological information is mostly absent or only contained in semi-structured strings. An integration of morphemic data has not yet been undertaken due to the lack of existing domain-specific ontologies and explicit morphemic data. In this paper, we present the Multilingual Morpheme Ontology called MMoOn Core which can be regarded as the first comprehensive ontology for the linguistic domain of morphological language data. It will be described how crucial concepts like morphs, morphemes, word forms and meanings are represented and interrelated and how language-specific morpheme inventories can be created as a new possibility of morphological datasets. The aim of the MMoOn Core ontology is to serve as a shared semantic model for linguists and NLP researchers alike to enable the creation, conversion, exchange, reuse and enrichment of morphological language data across different data-dependent language sciences. Therefore, various use cases are illustrated to draw attention to the cross-disciplinary potential which can be realized with the MMoOn Core ontology in the context of the existing Linguistic Linked Data research landscape.

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