scholarly journals Speleonymia Slovenského rudohoria z pohľadu teórie modelovania

2021 ◽  
Vol 28 (2) ◽  
pp. 417-430
Author(s):  
Gabriel Rožai
Keyword(s):  
Structural Model ◽  
Model Analysis ◽  
Relational Model ◽  
Relational Models ◽  
Proposed Model ◽  
Model C ◽  
The Given

The article presents model analysis of non-standardized names of caves and chasms of the Slovenské rudohorie mountains which follows the model analysis of anoikonyms by Jana Pleskalová, as well as the work devoted to modelling of Slovak hydronymy. The model analysis pointed out the dominance of the relational model C which expresses “properties, symptoms (and circumstances)” and the relational model A which is associated with the expression of “position, the location of underground object in the field”. The most common structural model in the given relational models is the two-member ADd+S, consisting of a derivative adjective and a noun such as Jelšavská jaskyňa, Gajdova štôlňa. Relational models (VM) referring to possessivity (VM D), especially to the immediate expression of the type of object (VM B), only have a marginal position in the proposed model analysis.

Young Students’ Functional Thinking Modes: The Relation Between Recursive Patterning, Covariational Thinking, and Correspondence Relations

2020 ◽  
Vol 51 (5) ◽  
pp. 631-674
Author(s):  
Marios Pittalis ◽  
Demetra Pitta-Pantazi ◽  
Constantinos Christou
Keyword(s):  
Data Analysis ◽  
Theoretical Model ◽  
Structural Model ◽  
Model Analysis ◽  
Functional Thinking ◽  
Proposed Model ◽  
Young Students ◽  
Recursive Thinking ◽  
Thinking Modes

A theoretical model describing young students’ (Grades 1–3) functional-thinking modes was formulated and validated empirically (n = 345), hypothesizing that young students’ functional-thinking modes consist of recursive patterning, covariational thinking, correspondence-particular, and correspondence-general factors. Data analysis suggested that functional-thinking tasks can be categorized on the basis of the proposed model. Analysis traced three categories of students that represent different functional-thinking profiles. Category 1 students exhibited a recursive-thinking profile. Category 2 students utilized a combination of recursive and contextual strategies and exhibited an emergent covariational and correspondence-particular thinking. Category 3 students approached functional-thinking situations flexibly, using a combination of covariational and correspondence strategies. A structural model showed two parallel paths from recursive patterning to correspondence-general through correspondence-particular or covariational.

A Hindi Image Caption Generation Framework Using Deep Learning

2021 ◽  
Vol 20 (2) ◽  
pp. 1-19
Author(s):  
Santosh Kumar Mishra ◽  
Rijul Dhir ◽  
Sriparna Saha ◽  
Pushpak Bhattacharyya
Keyword(s):  
Computer Vision ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
English Language ◽  
Image Captioning ◽  
Textual Description ◽  
Proposed Model ◽  
Hindi Language ◽  
The Given

Image captioning is the process of generating a textual description of an image that aims to describe the salient parts of the given image. It is an important problem, as it involves computer vision and natural language processing, where computer vision is used for understanding images, and natural language processing is used for language modeling. A lot of works have been done for image captioning for the English language. In this article, we have developed a model for image captioning in the Hindi language. Hindi is the official language of India, and it is the fourth most spoken language in the world, spoken in India and South Asia. To the best of our knowledge, this is the first attempt to generate image captions in the Hindi language. A dataset is manually created by translating well known MSCOCO dataset from English to Hindi. Finally, different types of attention-based architectures are developed for image captioning in the Hindi language. These attention mechanisms are new for the Hindi language, as those have never been used for the Hindi language. The obtained results of the proposed model are compared with several baselines in terms of BLEU scores, and the results show that our model performs better than others. Manual evaluation of the obtained captions in terms of adequacy and fluency also reveals the effectiveness of our proposed approach. Availability of resources : The codes of the article are available at https://github.com/santosh1821cs03/Image_Captioning_Hindi_Language ; The dataset will be made available: http://www.iitp.ac.in/∼ai-nlp-ml/resources.html .

scholarly journals Context-Aware Neural Machine Translation for Korean Honorific Expressions

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1589
Author(s):  
Yongkeun Hwang ◽  
Yanghoon Kim ◽  
Kyomin Jung
Keyword(s):  
Machine Translation ◽  
Deep Neural Networks ◽  
Contextual Information ◽  
Context Aware ◽  
Neural Machine Translation ◽  
Translation Quality ◽  
Sentence Level ◽  
Proposed Model ◽  
The Given ◽  
The Relationship

Neural machine translation (NMT) is one of the text generation tasks which has achieved significant improvement with the rise of deep neural networks. However, language-specific problems such as handling the translation of honorifics received little attention. In this paper, we propose a context-aware NMT to promote translation improvements of Korean honorifics. By exploiting the information such as the relationship between speakers from the surrounding sentences, our proposed model effectively manages the use of honorific expressions. Specifically, we utilize a novel encoder architecture that can represent the contextual information of the given input sentences. Furthermore, a context-aware post-editing (CAPE) technique is adopted to refine a set of inconsistent sentence-level honorific translations. To demonstrate the efficacy of the proposed method, honorific-labeled test data is required. Thus, we also design a heuristic that labels Korean sentences to distinguish between honorific and non-honorific styles. Experimental results show that our proposed method outperforms sentence-level NMT baselines both in overall translation quality and honorific translations.

STRUCTURAL MODEL ANALYSIS WITH THERMOPLASTICS

Strain ◽  
1967 ◽  
Vol 3 (3) ◽  
pp. 4-17
Author(s):  
G. WALLACE
Keyword(s):  
Structural Model ◽  
Model Analysis

Modelli di relazioni con i coetanei e adattamento psicosociale in adolescenza: una ricerca cross-nazionale e longitudinale

2009 ◽  
pp. 135-164
Author(s):  
Emanuela Rabaglietti ◽  
Silvia Ciairano
Keyword(s):  
Peer Relationships ◽  
Risk Behaviour ◽  
Relational Model ◽  
Perceived Support ◽  
Risk Behaviours ◽  
Risky Behaviour ◽  
Relational Models ◽  
Network Time ◽  
Depressive Feelings ◽  
Longitudinal Relationships

- The study is aimed at constructing a typology of patterns of peer relationships in Italy and the Netherlands and at investigating the longitudinal relationships with beliefs and expectations about relationships and school, psychological discomfort and antisocial and risky behaviour. 439 adolescents of both gender, aged from 15 to 20 years participated at the study. We described four patterns of 158 peer relationships: Isolated (dimension of network, time spent with friends and support perceived by friends were all low), Deep (only perceived support was high; more frequent among girls in both countries), Superficial (only quantitative aspects were high; more frequent among boys), Integrated (both quantitative and qualitative aspects). We found both stability (higher among Superficial and Integrated) and change (higher among Isolated and Deep). The Isolated showed the lowest beliefs and expectations and involvement in risk behaviours, the Deep and the Superficial showed intermediate levels of both beliefs and risk behaviour, and the Integrated showed the highest levels. We also found a great similarity in the links among relational models, beliefs, psychological discomfort and risk behavior in Italian and Dutch adolescents. However, when adopting the same relational model, the Italians perceived higher sense of alienation and depressive feelings and were more involved in lying and disobedience than the Dutch.

OPPORTUNITIES FOR THE FORMATION OF INTEGRATION SYSTEMS IN THE AGRO-INDUSTRIAL COMPLEX

2021 ◽  
Vol 2 (5) ◽  
pp. 47-54
Author(s):  
A. L. ABLYAMITOVA ◽  
Keyword(s):  
Structural Model ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Industrial Complex ◽  
Specific Product ◽  
Regional Cluster ◽  
Proposed Model ◽  
Business Entities ◽  
The Village ◽  
Theoretical Foundations

The paper substantiates the theoretical foundations of the formation of agricultural territorial-industrial cluster associations, the mechanism of their effective functioning and ensuring the competitiveness of integrated business entities. The structural model of the regional association of agro-industrial clusters and cooperatives is justified. The proposed model of regional cluster integration includes industry-specific product clusters. It is proposed to create an agricultural service cooperative at the village level, and a multifunctional service cooperative at the district level.

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