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American Journal Of Philological Sciences   
(ISSN – 2771-2273) 
VOLUME 02 ISSUE 11 PAGES: 127-133 

SJIF IMPACT FACTOR  (2022: 5. 445)  
OCLC – 1121105677    METADATA IF – 5.963 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Publisher: Oscar Publishing Services 

Servi 

 

 

 

 

 

 

 

 

ABSTRACT 

The history of the creation, pedagogical significance, methodological developments of computer linguistics are 

presented in this article. The role of computer linguistics in the process of globalization is revealed. Development of 

word input, analysis, analysis and other programs in computer linguistics. Information about human translation and 

machine translation is given. 

 

KEYWORDS 

Linguistics, computer, translation, information, technology, texts, platforms, programs, machine translation, human 

translation. 

INTRODUCTION

In the current modern world, the importance of 

communication and information is very great and 

significant, it is undoubtedly known to everyone that 

various spheres of public life are today under the direct 

influence of the information world. At the same time, 

  Research Article 

 

THE STUDY OF THE PROBLEM OF TEACHING COMPUTER LINGUISTICS IN 

THE PSYCHOLOGICAL-PEDAGOGICAL, METHODOLOGICAL LITERATURE 
 

Submission Date: November 05, 2022, Accepted Date:  November 15, 2022,  

Published Date: November 30, 2022  

Crossref doi: https://doi.org/10.37547/ajps/Volume02Issue11-18 

 

 

Ozod Mamirov 
Researcher Jizzakh State Pedagogical University Uzbekistan 

  

 

Journal Website: 

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Copyright: Original 

content from this work 

may be used under the 

terms of the creative 

commons attributes 

4.0 licence. 

 

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Volume 02 Issue 11-2022 128 

                 

 
 

   
  
 

American Journal Of Philological Sciences   
(ISSN – 2771-2273) 
VOLUME 02 ISSUE 11 PAGES: 127-133 

SJIF IMPACT FACTOR  (2022: 5. 445)  
OCLC – 1121105677    METADATA IF – 5.963 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Publisher: Oscar Publishing Services 

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computer technology plays an important role in 

achieving the goals of the new era. 

THE MAIN OF RESULT 

Penetrated into all aspects of our life. In the conditions 

of globalization, there are certain difficulties 

associated with the difference between machine 

language and human language, in addition, the existing 

characteristic features of human language are 

increasingly demanding to solve this problem. 

Therefore, Computational Linguistics and translation 

linguistics are the most important. Computational 

linguistics is an effective interdisciplinary relationship 

in linguistics, computer technology, and mathematics. 

Because in computer linguistics it is impossible to run 

programs without mathematical operations and 

commands. It is the branch of Applied Linguistics that 

deals with the computational aspects of language 

processing. The field of its study is the dual essence of 

language, represented by speech and text. Its other 

areas are classified as follows: language engineering, 

artificial intelligence, translation of texts from one 

language to another through machine translation, 

Information Technology, Communication Technology, 

search engine design, obtaining information from a 

large amount of text. Finding answers to various 

questions in the largest language database or on the 

Internet, processing text and speech, machine 

reception of voice commands and their detailed 

execution, converting text into speech, and vice versa, 

reviewing the content of texts, developing a database.  

       The range of related disciplines covers issues 

related to the human language in general, the 

psychology of the human mind and artificial computer 

intelligence. In this regard, in various educational 

systems, this science sometimes belongs to the 

subgroup of linguistics, and sometimes computer 

engineering and mathematics. In our time, where it is 

possible to record and transmit sound through various 

electronic devices, such as telephone, radio, etc., 

language has become the object of research by 

another group of specialists called Communication 

Engineering. With the development of computer 

technology, natural language research has undergone 

tremendous changes. To date, a program for checking 

spelling errors and grammatical corrections, obtaining 

information from documents and databases, 

translating from one natural language to another, etc. 

sold in millions of copies worldwide. However, 

programs that do not yet have artificial intelligence are 

still valid. Not all programs can change one language to 

another. 

One of the best subcategories of computational 

linguistics is the development of software tools for 

correct language recognition and automatic 

translation in natural language and a powerful tool for 

achieving excellence in comprehensive human-

machine communication. That is why teaching 

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Volume 02 Issue 11-2022 129 

                 

 
 

   
  
 

American Journal Of Philological Sciences   
(ISSN – 2771-2273) 
VOLUME 02 ISSUE 11 PAGES: 127-133 

SJIF IMPACT FACTOR  (2022: 5. 445)  
OCLC – 1121105677    METADATA IF – 5.963 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Publisher: Oscar Publishing Services 

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computer linguistics by means of a perception map is a 

much more effective method. Until now, it has been 

almost 50 years since computer linguistics was created, 

but this problem has not been completely resolved. 

         But even before that, there was a need to use 

methods for determining the language of most 

peoples in order to gain knowledge of each other, that 

is, we are talking about a universal language. For 

example, in the Middle Ages, all important issues at the 

international level were expressed in Latin, and 

therefore the universal language was the dream of 

many. For Humanity, which has been looking for a 

solution to the problem of communication, more than 

600 programs have now been presented. In historical 

linguistics, the spread of this language is clearly visible 

on the entire ancient continent. For example, during 

the Mongol rule and until that time, the language was 

the official language of the Indian state. This language, 

thanks to its rich vocabulary and pleasant expressions, 

has gained many fans among the nobility and the 

common people, although at first glance it entered 

India as the language of rulers, but for centuries it was 

unique due to its oratory skills. Sincerely accepted by 

millions of people. It is well known that it is common in 

Tajikistan, Afghanistan and some other regions of 

Central Asia. The importance of studying the 

application of Computational Linguistics in texts in the 

Uzbek language really indicates the need to expand 

cognitive opportunities in the Uzbek-speaking society, 

as well as transfer knowledge to the Uzbek language 

through other languages. At the moment, the 

knowledge gained as a result of research by scientists 

in various fields is being disseminated through internet 

networks in different languages. In the current period, 

basic scientific information is usually recorded in 

English and in Russian scientific databases, and its 

release for users in other languages is associated with 

many difficulties. This study shows how successful the 

computer device is in the field of transferring data from 

other languages to Uzbek and vice versa, translating 

words and text, converting audio and video 

information, as well as the Uzbek language.  

          On the other hand, we can say that the growing 

expansion of electronic platforms has created a new 

environment in all areas of the life of the new 

generation. At the same time, language as a social 

institution, influenced by a new approach and became 

the main text-oriented medium in digital media such as 

mobile phones, websites or personal computers. For 

example, on new platforms, it is possible to record the 

electronic education system using new tools that have 

established themselves as an educational field in the 

field of linguistic computer applications. Although 

learning Uzbek through electronic platforms is not 

very acceptable due to the peculiarities associated 

with Uzbek writing or the necessary platforms, but it 

can be said that most of the world's language teaching 

methods range from the creation of magnetic audio 

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Volume 02 Issue 11-2022 130 

                 

 
 

   
  
 

American Journal Of Philological Sciences   
(ISSN – 2771-2273) 
VOLUME 02 ISSUE 11 PAGES: 127-133 

SJIF IMPACT FACTOR  (2022: 5. 445)  
OCLC – 1121105677    METADATA IF – 5.963 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Publisher: Oscar Publishing Services 

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cassettes to the emergence of digital memory and 

compact discs aimed at using audio and visual teaching 

tools to improve the In addition, the volume and 

duration of data storage is larger. The main reason for 

the significant failure of the electronic teaching system 

of the Uzbek language is the peculiarities of writing 

and grammar, which left the equations of teaching the 

Uzbek language on digital platforms ineffective and 

prevented the expansion of the industry in relation to 

other languages. 

From the scientific literature it can be seen that since 

the beginning of the 50s, in the XX century, serious 

efforts have been made to apply computers for the 

processing of natural languages. These efforts were 

more focused on machine translation, and due to the 

political situation of that time, that is, the era of 

confrontation between superpowers, they focused on 

translating from Russian into English to develop means 

of confrontation during the Cold War. The main 

linguistic aspect in the field of computational linguistics 

is associated with the growth and development of the 

branches of mathematics and engineering, machine 

translation from one language to another, information 

theory, radio communication, etc. Such areas are 

currently developing and improving, and also have a 

very bright future. On this basis, this question concerns 

the new side of computer technology, which covers 

the needs of solving its problems in many issues of 

computerization and automation. Approximate 

solution of issues in linguistics. In recent years, many 

new scientific and technical questions have appeared 

regarding the language, automatic translation of 

scientific literature, information storage, coding, etc . 

Russian scientist Ya.V. In his work, Loya notes: "the 

idea of a car translated from language for the first time 

was used by the Soviet technician-inventor P.P. It was 

put forward by Smirnov-Troyansky and in 1933 created 

the first mechanized dictionary. In 1946, the idea of 

machine translation was invented by the American 

linguist A. Developed by Uiver. Machine translation 

experiments have been conducted since 1954. In the 

US, using the IBM - 701 electronic computing machine, 

the first translations of technical texts based on 250 

words from Russian to English were carried out.  

         Machine translation techniques use part of the 

results of systematic analysis and statistical research in 

the frequency of use of structural elements of the 

language and their distribution. In 1946, K.H.V. Idol and 

V. For the first time, Weaver formulated the concept of 

machine translation. V.Weiver laid its development on 

the basis of methods for opening enemy messages in 

World War II. But he created a machine that turns 

words from one language to another . But the work of 

the Idol did not pay attention to either grammar or 

word order. Booth's machine translation actually 

translated important words of text or keywords into 

another language, and understanding and interpreting 

the text left it to the user. In 1948, the English 

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Volume 02 Issue 11-2022 131 

                 

 
 

   
  
 

American Journal Of Philological Sciences   
(ISSN – 2771-2273) 
VOLUME 02 ISSUE 11 PAGES: 127-133 

SJIF IMPACT FACTOR  (2022: 5. 445)  
OCLC – 1121105677    METADATA IF – 5.963 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Publisher: Oscar Publishing Services 

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R.Richens (Richard Richens) came up with an 

automatic analysis of words, which was a literal 

translation . 

          In 1949 V. As Weaver developed the work of 

Booth and Richens, he studied the interweaving of the 

infrastructure of languages and came to the conclusion 

that the semantic and logical similarity of languages 

depends on the characteristics of the human brain. 

common to all people. V. What wiver finally 

contributed to the work of Booth and Richens were 

proposals to eliminate semantic uncertainty. 

         In 1950, Reifler checked machine translation using 

man. According to him, the text was first translated, 

and then edited on the machine. That is, in other 

words, the translation should have had one pre-editing 

and one post-editing. 

In 1952, The Rockefeller Foundation allocated 

significant funds for machine translation to the 

Massachusetts Institute of Technology (MIT) at the 

first limited Conference of linguists and machine 

translators. The members of this conference agreed 

that the study would be carried out in two stages: the 

first was the study of the frequency of words, the 

search for their equivalents, methods for using 

computer memory and other technical aspects of 

machine vocabulary; the second stage was associated 

with the method of analysis. 

        From 1952 to 1955, American scientists studied the 

volume of computer memory, the automatic 

determination of the meaning of words and the 

method of analyzing words. In 1954, two academic 

linguists from Georgetown university3 succeeded in 

translating from Russian into English. They presented 

an example of a machine translation system with a 

dictionary of 250 units and 6 grammar rules. In the 

same year, MIT (MIT) published Machine Translation 

magazine. 

        In 1956, the first international meeting on 

“machine translation systems” was held with the 

participation of English, Canadian, American and 

Russian specialists. At that time, the United States, 

England and the Soviet Union were the main countries 

where research on machine translation was carried 

out, but it was also carried out in Italy and Scandinavia. 

1. Pre-edit 

2 Post-editing 

3 George Town 

         During these years, researchers were now 

engaged in the regulation and centralization of 

individual studies carried out in different regions of the 

world, not trying to prove that machine translation can 

be fully achieved. 

        In 1958, twelve groups worked on research on 

machine translation in the USA: a Russian-English 

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Volume 02 Issue 11-2022 132 

                 

 
 

   
  
 

American Journal Of Philological Sciences   
(ISSN – 2771-2273) 
VOLUME 02 ISSUE 11 PAGES: 127-133 

SJIF IMPACT FACTOR  (2022: 5. 445)  
OCLC – 1121105677    METADATA IF – 5.963 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Publisher: Oscar Publishing Services 

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Dictionary of machine translation is being created at 

Harvard University; "Noam Chomsky" (N.Chomski) 

conducted research on syntactic structures in" MIT " 

(MIT). At Georgetown University, the issues of syntax 

and semantics of the Russian language were studied, 

while at the University of Michigan they tried to get the 

rules of Russian grammar and solve the problems of 

polysemy. At the University "Seattle" also developed a 

system of machine translation from Russian into 

German.  

In Los Angeles and California, scientists conducted 

scientific research on the issues of the cognitive 

method of machine translation, and more emphasis 

was placed on machine translation. Translation from 

English into Russian in England, a detailed study was 

carried out on the cognitive method of machine 

translation, one of the most important tasks of 

researchers in this country was the cooperation of 

computer specialists and linguists. They put a lot of 

effort into transforming linguistics into a small science 

of Computer Science, and therefore they were 

deceived using mathematical methods. Since the 50s 

of the last century, with the publication of the work of 

Noam Khomsky, analysis began regardless of meaning, 

but " J. Katz " (C.Katz) “ " J. Fodor (J. Fodor) (1963) and 

Pi. Em. Mail (1964) introduced semantics into the field 

of machine translation. At the next stage, the use of 

scientific achievements in the field of language 

processing was also studied (25,43). 

         As for the Uzbek language, studies in 

Computational Linguistics dealt with the problems 

existing between Uzbek grammar and electronic 

instruments and paid less attention to the basic 

principle of Computational Linguistics. Most of the 

scientists who conducted research on the 

computational linguistics of the Uzbek language were 

actually users of the research results of this science, 

adapting it to Uzbek grammar. 

One of the leaders in the study of this area in Iran can 

be called Professor of the Iranian Research Institute of 

Humanities, Dr. Mustafa Asiy. He led the most effective 

research work on the application of Computational 

Linguistics in various fields of Uzbek linguistics in the 

form of scientific projects, or doctoral and 

undergraduate dissertations conducted research on 

the processing of the Uzbek language on a computer 

at four phonetic levels, on word structure, syntax and 

semantics. He revealed the interdisciplinary and 

practical dependence of the Uzbek language on 

computer processing in research. Many articles on this 

have also been issued. Among them, scientists from 

the University of Tehran also provided information 

about the Uzbek-English Comparative Corps, the 

Anglo-Tsarist parallel Corps, the Uzbek-English parallel 

Corps. Tehran, telefon farsnet, Uzbek NET, Uzbek text 

Corps are also available. 

CONCLUSION 

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Volume 02 Issue 11-2022 133 

                 

 
 

   
  
 

American Journal Of Philological Sciences   
(ISSN – 2771-2273) 
VOLUME 02 ISSUE 11 PAGES: 127-133 

SJIF IMPACT FACTOR  (2022: 5. 445)  
OCLC – 1121105677    METADATA IF – 5.963 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Publisher: Oscar Publishing Services 

Servi 

In place of the conclusion, it can be said that any 

science education, no matter the areas, it is difficult to 

imagine them without literature. Therefore, the role of 

computer linguistics in showing the fields and 

possibilities of linguistics is incomparable. This includes 

not only linguistics, but also computer technology. 

Methods for analyzing both the vocabulary content of 

each language can also be studied in computer 

linguistics. 

REFERENCES 

1. Rakhimov A. Fundamentals of computer 

linguistics. - Tashkent: Akademnashr, 2011. 

2. Polatov A. Computer linguistics. - Tashkent: 

Akademnashr, 2011. 

3. Mohamedova S. Uzbek computer linguistics: 

history, present and future of development // 

language and literature education. - Tashkent: 

2004. 

4. Mohamedova S. Computer linguistics 

(methodological manual). - Tashkent: Tashdpu 

edition, 2007. 

5. Polatov A.G. Teksti lektsi po matematicheskoy 

I komponnoy lingvistike (elektronniy option). - 

Tashkent: Uzmu. 2003. 

6. Yunusova, G. D. (2022). Specific Aspects Of The 

Speech Act In Korean. Journal of Positive 

School Psychology, 6(10), 4056-4059. 

7. Nosirkhonov, N. N., & Yunusova, G. D. (2022). 

Explicit methods of expressing please speech 

acts in Korean. Asian Journal of Research in 

Social Sciences and Humanities, 12(5), 44-50. 

8. Yunusova, G. D. (2021). Aspect and modal 

meanings of auxiliary verbs in Korean 

language. International Journal of Linguistics, 

Literature and Culture, 7(5), 339-343. 

Ziyamukhamedov, J. (2022). BUDDHIST AND 

TAOIST MOTIFS IN PU SUNGLING'S" LIAO JAI'S 

STORIES OF MIRACLES". Builders Of The 

Future, 2(02), 181-188. 

9. Karimov, N. (2022). Importance of studying and 

promoting oriental culture and heritage. 

Oriental Journal of History, Politics and Law, 

2(03), 28-33. 

 

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