<span>The work presents new theoretical equipment for the representation of natural languages (NL) in computers. Linguistics: morphology, semantics, and syntax are also presented as components of subtle computer science that form. A structure and an integrated data system. The presented useful theory of language is a new method to learn the language by separating the fields of semantics and syntax.</span>

<span>The consideration that the Iraqi community has concentrated on the training area has delivered another college responsibility routed to superiority viewpoints for all training connected facilities. In truth, a superiority arranged facility necessitates perfection in the structure and arranging of facility exercises, in addition to amid its conveying for the received facility execution assessment strategy. In any case, considering that facility execution assessments are profoundly founded on partners’ decisions, they can be described by conceivable vulnerabilities identified with deficiency for incomplete obliviousness, imprecision for subjectivity and even dubiousness. In this way, underneath these circumstances, temperamental outcomes can be acquired by broadly measured facility investigation strategies. This paper is a strategy dependent an ongoing augmentation of ServQual display and it utilizes a consolidated way of Fuzzy Set Theory of command process technique that is proposed to adequately deal with vulnerability in facility execution examinations. Specifically, Fuzzy Set Theory is measured to manage vulnerability, while AHP strategy is embraced as device to appraise the significance loads of key facility characteristics. In this way, the key investigation of the facility esteem tree identified with the program in University of Kufa is made by using the planned strategy. The completed facility examination permits the most impacting facility execution components to be caught and remarked. At last, acquired outcomes demonstrate that the teachers' view of facility quality definitively impacts by large facility execution level. </span>

<span>A variety of internet-based applications are widely used in our animation activities because they provide free and useful services. These applications, such as Instant Messaging, can be run via the web, mobile, or computer-based devices. Therefore, the security and privacy of user data over these apps have been concerned in recent years because of sensitive and confidential information considerations. Consequently, many instant messaging applications, like Viber, have various security and privacy issues that need to be understood and resolved. Viber users reached 800 million, and they increased dramatically due to the efficient services that this app provides. Hence, a loophole in an application’s design may allow illegal access to the app and gain confidential and sensitive data. In this article, we proposed a security approach for Viber to safeguard user confidential data and sensitive information. The proposed approach involves two theoretical solutions: Short message service (SMS) authentication code and the physical hardware number to prevent illegal access to user data. Several scenarios are adopted to assess the proposed approach and achieve security and privacy for the user information.</span>

The purpose of this work is to investigate the problem of detecting transportable borrowings and text reuse. The article proposes a monolingual solution to this problem: translating the suspicious material into language collections for additional monolingual analysis. One of the major requirements for the suggested technique is robustness against machine learning ambiguities. The next step in the document analysis is split into two parts. The authors begin by retrieving documents-candidates that are similarity to other types of text recurrence. The paper proposes retrieving texts utilizing word clusters formed using distributional semantic for robustness. In the second stage, the authors use deep learning neural networks to compare the suspected document to candidates utilizing phrase embedding. The experimentation is carried out for the language pair “English-Arabic” on both articles and synthetic data.