Automatic generation of Web service for the Praxeme software aspect from the ReLEL requirements model

Andrianjaka, Rapatsalahy Miary; Razafimahatratra, Hajarisena; Ilie, Mihaela; Mahatody, Thomas; Ilie, Sorin; Raft, Razafindrakoto Nicolas

doi:10.1016/j.procs.2021.03.098

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…Automatic text translation is very important compared with the translation of cultural classics, and the interpretation of classics is difficult. Here, we can make full use of computers to complete the auxiliary translation of cultural classics [27]. e text translation index is used to automatically select a highly referential original sentence on a fixed measurement standard.…”

Section: Text Translation Indexmentioning

confidence: 99%

A Study on the Translation of Cultural Classics Based on Deep Learning Methods

Zhang

Lou

Cheng

2022

Scientific Programming

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China’s cultural classics have high artistic and ideological values in the world, which implies China’s historical heritage and the inheritance of the cultural situation of the Chinese nation for thousands of years. At present, with the rapid development of China’s economy, especially in the development environment of cultural globalization, China’s traditional cultural classics have attracted worldwide attention along with historical and cultural treasures. In fact, other countries need to translate cultural classics out of their love for China’s cultural classics or academic research. However, there are a large number of cultural classics in China. According to relevant data, there are approximately 35,000 kinds of cultural classics, out of which only 0.2% are translated into foreign languages. In order to make China’s excellent cultural classics known to the world and let more people in other countries understand Chinese culture, this paper studies the translation of cultural classics through in-depth learning. Firstly, this paper introduces the basic concept of deep learning and proposes an algorithm that deeply studies the convolution layer and pool layer. Secondly, the algorithm establishes a deep learning model that calculates and counts the text information of ancient books through explicit intertextuality. Thirdly, the model carries out automatic text translation and lists the analysis process of cultural classics translation based on intertextuality, so as to study cultural classics translation. The obtained results can promote the development of cultural classics translation in China. For the translation of complex cultural classics, the effects of the three models are tested experimentally, of which the sequence model (seq) is the best. This model is fast and simple to extract the text of literary classics.

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Section: Text Translation Indexmentioning

confidence: 99%

A Study on the Translation of Cultural Classics Based on Deep Learning Methods

Zhang

Lou

Cheng

2022

Scientific Programming

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“…The approach consists of transforming the eLEL (elaborate Lexicon extended language) requirement model into a business model at the Praxeme methodology level. (Rapatsalahy and Al., 2020, 2021) [9], [40], [42] extended the eLEL requirement model into ReLEL (Restructuring extended Lexical elaborate Language) and initialized it in Praxeme for automatic generation of the logical aspect of Praxeme as well as web services and then software components that represent the software aspect of Praxeme.…”

Section: State Of the Art On Enterprise Architecture Frameworkmentioning

confidence: 99%

“…Thus, the design of SOA requires an adequate enterprise architecture methodological framework. Moreover, the Praxeme methodology suggests the best condition to be adapted to SOA in order to better take advantage of the privileges of SOA [42]. Praxeme also suggests UML as a modeling language for each aspect of the enterprise, MDA as an approach to automate the transition from one aspect to another, and SOA to manage changes in business requirements [2].…”

Section: A Concept Of the Praxemementioning

confidence: 99%

“…These represent the logical aspect of Praxeme, which is illustrated in Figure 4. The approach is based on the use of MDA with which rules are proposed to automatically derive SOA logical services from semantic or pragmatic models [42] Figure 4 shows the logical aspect of Praxeme containing the logical factory which in turn is the logical machine in which the services are located. An automatic generation of SOA web services has already realized by (Rapatsalahy and Al, 2021) [42].…”

Section: A Concept Of the Praxemementioning

confidence: 99%

“…The approach is based on the use of MDA with which rules are proposed to automatically derive SOA logical services from semantic or pragmatic models [42] Figure 4 shows the logical aspect of Praxeme containing the logical factory which in turn is the logical machine in which the services are located. An automatic generation of SOA web services has already realized by (Rapatsalahy and Al, 2021) [42]. The authors of the paper used the MDA approach to model the WSDL from the Praxeme logic factory via derivation rules.…”

Section: A Concept Of the Praxemementioning

confidence: 99%

See 2 more Smart Citations

Approach to the Design of a Microservice Architecture Based on Praxeme

Fanomezana¹,

Rapatsalahy²,

Razafindrakoto³

et al. 2022

Syst. Theor. Control Comput. J.

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Frequent updates of business needs are one of the factors of the evolution of a company. These permanent changes require a large flexibility of the Information System (IS). SOA (Service Oriented Architecture) is an architecture that offers more scalability to an application by subdividing the monolithic block into independent services. Nevertheless, it is not sufficiently suitable in terms of accessibility of services and data. It is thus necessary to orient the design of the IS towards a new architecture called Microservice Architecture (MSA). The objective of this paper is to recommend a methodology to design MSA. Indeed, our approach is based on Praxeme which is an enterprise methodology appropriate to SOA. The result obtained from the approach proposed in this paper is a model allowing to automate the MSA design.

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Translation Accuracy Correction Algorithm for English Translation Software

Yang

2023

Lecture Notes on Data Engineering and Communications Technologies

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Automatic generation of Web service for the Praxeme software aspect from the ReLEL requirements model

Cited by 5 publications

References 7 publications

A Study on the Translation of Cultural Classics Based on Deep Learning Methods

A Study on the Translation of Cultural Classics Based on Deep Learning Methods

Approach to the Design of a Microservice Architecture Based on Praxeme

Translation Accuracy Correction Algorithm for English Translation Software

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