Mathematical Model for Application of Natural Language Description in the Creation of an Animation

2021 ◽  
pp. 237-251
Author(s):  
Shradha Kannan ◽  
M. K. Vathsala
Keyword(s):  
Mathematical Model ◽  
Natural Language ◽  
The Creation ◽  
Language Description

scholarly journals MATHEMATICAL MODEL FOR AUTOMATIC CREATION THE SEMANTIC THESAURUS FOR THE SCIENTIFIC TEXT

2019 ◽  
Vol 6 (125) ◽  
pp. 82-88
Author(s):  
Oleg Volkovskiy ◽  
Egor Kovylin
Keyword(s):  
Mathematical Model ◽  
Natural Language ◽  
Vocabulary Knowledge ◽  
Semantic Model ◽  
Scientific Text ◽  
The Creation ◽  
The One ◽  
Semantic Correspondence

The paper deals with the issues related to the use of the algorithm of constructing the semantic model of the document for the creation the thesaurus of the scientific text terms in the natural language. The purpose of the paper is to develop an approach to create matching between elements of scientific text that do not have a direct syntactic link, but are semantically related to the one field. The relevance of the research is that the system does not use linguistic or vocabulary knowledge during its work, which makes it a universal tool for forming semantic correspondence between terms in a scientific text. Obtained results show that the semantic labels of a document have the highest number of intersections with semantic contours when they contain the largest number of semantically significant stems in their composition, which allows to make assumptions about a direct semantic connection between terms corresponding to such stems.

Principles of compiling artificial languages

2020 ◽  
Vol 56 (07) ◽  
pp. 40-46
Author(s):  
Khayala Mugamat Mursaliyeva ◽  
Keyword(s):  
Natural Language ◽  
Modern World ◽  
Linguistic Landscape ◽  
Artificial Language ◽  
Natural Consequence ◽  
Modern Language ◽  
Artificial Languages ◽  
The World ◽  
The Creation

The explosion of information and the ever-increasing number of international languages make the modern language situation very difficult. The interaction of languages ultimately leads to the creation of international artificial languages that operate in parallel with the world`s languages. The expansion of interlinguistic issues is a natural consequence of the aggravation of the linguistic landscape of the modern world. The modern interlinguistic dialect, which is defined as a field of linguistics that studies international languages and international languages as a means of communication, deals with the importance of overcoming the barrier.The problem of international artificial languages is widely covered in the writings of I.A.Baudouin de Courtenay, V.P.Qrigorev, N.L.Gudskov, E.K.Drezen, A.D.Dulchenko, M.I.Isayev, S.N.Kuznechov, A.D.Melnikov and many other scientists. Key words:the concept of natural language, the concept of artificial language, the degree of artificiality of language, the authenticity of language

scholarly journals ANALYTICAL METHODS FOR CALCULATING FAN AERODYNAMICS

2015 ◽  
Vol 55 (6) ◽  
pp. 373
Author(s):  
Jan Dostal ◽  
Jan Kuzel
Keyword(s):  
Mathematical Model ◽  
Analytical Methods ◽  
Preliminary Design ◽  
Computer Programme ◽  
Aerospace Research ◽  
Model Based ◽  
The Creation ◽  
The Mathematical Model ◽  
Measuring Unit

This paper presents results obtained between 2010 and 2014 in the field of fan aerodynamics at the Department of Composite Technology at the VZLÚ aerospace research and experimental institute in Prague – Letnany. The need for rapid and accurate methods for the preliminary design of blade machinery led to the creation of a mathematical model based on the basic laws of turbomachine aerodynamics. The mathematical model, the derivation of which is briefly described below, has been encoded in a computer programme, which enables the theoretical characteristics of a fan of the designed geometry to be determined rapidly. The validity of the mathematical model is assessed continuously by measuring model fans in the measuring unit, which was developed and manufactured specifically for this purpose. The paper also presents a comparison between measured characteristics and characteristics determined by the mathematical model as the basis for a discussion on possible causes of measured deviations and calculation deviations.

scholarly journals A Novel Solution for the Aggregation Problem in Natural Language Interface to Databases (NLIDB)

2020 ◽  
Author(s):  
Alexandre Ferreira Novello ◽  
Marco Antonio Casanova
Keyword(s):  
Natural Language ◽  
Basic Unit ◽  
Aggregation Functions ◽  
Natural Language Interface ◽  
Aggregation Problem ◽  
The Creation ◽  
Multiple Attributes ◽  
Generic Module

Natural Language Interface to Databases (NLIDB) systems usually do not deal with aggregations, which can be of two types: aggregation functions (such as count, sum, average, minimum, and maximum) and grouping functions (GROUP BY). This paper addresses the creation of a generic module, to be used in NLIDB systems, that allows such systems to perform queries with aggregations, on the condition that the query results the NLIDB returns are or can be transformed into tables. The paper covers aggregations with specificities, such as ambiguities, timescale differences, aggregations in multiple attributes, the use of superlative adjectives, basic unit measure recognition, and aggregations in attributes with compound names.

scholarly journals Natural language description of images using hybrid recurrent neural network

2019 ◽  
Vol 9 (4) ◽  
pp. 2932
Author(s):  
Md. Asifuzzaman Jishan ◽  
Khan Raqib Mahmud ◽  
Abul Kalam Al Azad
Keyword(s):  
Neural Network ◽  
Natural Language ◽  
Recurrent Neural Network ◽  
Short Term Memory ◽  
Text Line ◽  
Short Term ◽  
Word Representation ◽  
Benchmark Datasets ◽  
Long Short Term Memory ◽  
Language Description

We presented a learning model that generated natural language description of images. The model utilized the connections between natural language and visual data by produced text line based contents from a given image. Our Hybrid Recurrent Neural Network model is based on the intricacies of Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Bi-directional Recurrent Neural Network (BRNN) models. We conducted experiments on three benchmark datasets, e.g., Flickr8K, Flickr30K, and MS COCO. Our hybrid model utilized LSTM model to encode text line or sentences independent of the object location and BRNN for word representation, this reduced the computational complexities without compromising the accuracy of the descriptor. The model produced better accuracy in retrieving natural language based description on the dataset.

Automatic Extraction of Valency Information

1995 ◽  
Vol 107-108 ◽  
pp. 89-111
Author(s):  
Jan Daugaard ◽  
Sabine Kirchmeier-Andersen ◽  
Lene Schøsler
Keyword(s):  
Natural Language ◽  
Research Team ◽  
Corpus Analysis ◽  
Automatic Extraction ◽  
The Past ◽  
Natural Language Parsing ◽  
Theoretical Assumptions ◽  
The Creation

Abstract The above research team has for the past 4 years been working on a database of valency schemes for 4,000 Danish verbs. First we present the underlying theoretical assumptions for the creation of valency schemes. Then the tools to perform automatic extraction of valency information from corpora are described. Finally, the results are presented. Keywords: natural language parsing, Danish, lexical valency, the Pronominal Approach, corpus analysis.

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