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32 Research products

  • Digital Humanities and Cultural Heritage
  • 2022-2022
  • ID
  • Indonesian
  • Digital Humanities and Cultural Heritage

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  • Authors: Abiriyi, N. (Nathan); Kwasu, K. J. (Katung);

    The present research article examines the myriad ways that the Dikan ritual performance among the Bajju people of Kaduna State, Northern West, Nigeria, is celebrated. The Dikan ritual performance in its current enactment can be gleamed as a cultural space for the remembrance of the essence and cultural identity of the Bajju tribe, in a world under the threat of rapid globalization, socio-cultural, and historical changes; which is made more prevalent by the exerting force of technology, popular culture, and postmodern elements demonstrated through various social media platforms and news outlets. The study begins by highlighting the background of Dikan ritual performance in Kajju from the precolonial to postcolonial Northern Nigeria. It espouses on the nature and structure of this ritual and its relevance to the Bajju people. It then makes recommendations on ways of sustaining this practice, to save it from extinction.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Vidyadhari, Dyota Cantacyacitta;

    Public opinion is needed to help the government navigate and evaluate policies. Information dissemination can shape public perception of important issues that occur and government regulations in an area where public knowledge of these matters is still limited. In Indonesia, the process of collecting public opinion is still far from available. Chances are if it is used consistently and as widely as possible, extracting public opinion holds true potential and is applicable across disciplines for micro to macro benefits. Sentiment analysis as an information extraction method is used to calculate sentiment in Indonesian-language online news articles regarding the Russia and Ukraine conflict that arises in 2022. This process is carried out using a lexicon-based approach to determine the polarity value of each data. The lexical dictionary used is the InSet Lexicon and based on the polarity value, the sentiment results will fall into 3 classes, namely positive, negative and neutral. The results of the news article sentiment classification show that more than 76% of the total 492 news stories are in the negative category, 20.5% are positive categories, and 3.3% are news with neutral sentiments. Pendapat masyarakat diperlukan untuk membantu pemerintah menavigasi dan mengevaluasi kebijakan yang diputuskan. Diseminasi informasi dapat membentuk persepsi publik terhadap isu-isu penting yang terjadi dan regulasi pemerintah di suatu wilayah di mana pengetahuan publik akan hal tersebut masih terbatas. Di Indonesia, proses pengumpulan opini publik masih terbatas padahal apabila digunakan secara konsisten dan seluas mungkin, potensi pemanfaatan ekstraksi opini publik dapat dipakai di lintas disiplin ilmu dari segi mikro hingga makro. Sentiment analysis sebagai salah satu metode ekstraksi informasi digunakan untuk mengkalkulasi sentimen dalam artikel berita online berbahasa Indonesia mengenai konflik Rusia dan Ukraina yang muncul di tahun 2022. Proses ini dilakukan menggunakan pendekatan berbasis lexicon untuk menentukan nilai polaritas setiap datanya. Kamus leksikal yang digunakan adalah InSet Lexicon dan berdasarkan nilai polaritasnya, hasil sentimen akan jatuh pada 3 kelas yaitu positif, negatif, dan netral. Hasil klasifikasi sentimen artikel berita menunjukkan lebih dari 76% dari total 492 berita masuk kategori negatif, 20,5% berita kategori positif, dan 3,3% berita bersentimen netral.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Institutional Reposi...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Authors: Latumaerissa, Daniel Eliazar;

    Dalam penelitian ini dilakukan pengembangan sebuah Sistem Informasi Aktivitas Pembelajaran FISIKA yang disingkat SIAP FISIKA. Penelitian ini termasuk ke dalam bidang penelitian Natural Language Processing (NLP) yang melakukan kerja pemrosesan data teks menggunakan teknologi kecerdasan buatan / Artificial Intelligence (AI). Beberapa algoritma Machine Learning (ML) digunakan untuk memodelkan dan mengklasifikasi teks materi pelajaran dalam kelas “Topik Pelajaran Fisika” yang benar. Selanjutnya dilanjutkan dengan perekomendasian aktivitas belajar yang memiliki nilai cosine similarity > 0.1 dengan teks materi pelajaran. Dari proses pelatihan dan pengujian, algoritma Multinomial Naïve Bayes (MultiNB) memberikan rata – rata nilai akurasi terbaik yaitu sebesar 83.12 %. Akurasi maksimum didapatkan dengan menggunakan kombinasi MultiNB dan teknik ekstraksi fitur unigram yaitu sebesar 88.32 %. In this research, a development of an Information System for PHYSICS Learning Activities, which is abbreviated as SIAP FISIKA, was carried out. The research itself belongs to the field of Natural Language Processing (NLP) which performs text data processing using Artificial Intelligence (AI) technology. Machine Learning (ML) algorithms were used to model and classify the text of Physics lessons into correct class of topic in Physics. The process then is followed by recommending learning activities that have a cosine similarity value > 0.1 to the text. From the training and test, the Multinomial Naïve Bayes (MultiNB) algorithm gives the best average accuracy of 83.12%. The maximum accuracy is obtained by using a combination of MultiNB and unigram feature extraction technique, which is 88.32 %

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Institutional Reposi...arrow_drop_down
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  • Authors: Yadav, P. K. (Pradip);

    History, though it can be revived, rewritten and altered, always functions as a source of inspiriation and encouragement for the upcoming generations. Although it is prone to be distorted, contrived and re-interpreted by the following generations yet it constantly serves as a guiding light for future generations leading them in right direction without committing the mistakes which the human forefathers had mistakenly committed. History, an umbrella term, incorporates all the facets of traditions, myths and the past of a particular nation or many nations. Intermingling all these elements Julian Barnes's chapter ‘Parenthesis' in A History of the World in 10 ½ Chapters is embellished with various literary techniques as narrating English history, tradition, myth and the past through postmodern narrative strategies. The novel shares many concepts and trends with postmodern skills of writing fiction. Incorporating all the above elements A History of the World in 10 ½ Chapters rigidly confirms to the trend of postmodern fiction. This paper critically evaluates the half chapter entitled ‘Parenthesis' from Barnes's novel, A History of the World in 10 ½ Chapters.

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  • Authors: Govinthasamy, D. (D); Sivakumar, M. V. (M); Anand, J. A. (J);

    This paper attempts to present an assessment of mythology and its significance in human life and Indian culture in Gita Mehta's A River Sutra. It also looks at her utilization of Indian mythology and its symbolic meaning from a sociocultural standpoint. It is a project to investigate her usage of Indian mythology and its symbolic meaning in current culture. She interprets renunciation and self-realization in A River Sutra in a very realistic and practical way. The author's concern for man's eternal desire for existence and survival in modern life is evident in the Narmada story and the narrators of the six stories. She clarifies for misled Westerners and Indians alike that it is the active life of karma, not the passive renunciation, that leads to knowledge and enlightenment. As a result, only action, unselfish activity, may assist man in attaining perfection and excelling in life.

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  • Authors: Miltiqboy, S. (Suyunov); Mamadjanovich, T. I. (Toshmatov);

    This article provides information on a wide and comprehensive study of the legacy of our great thinker Alisher Navoi, the use of architecture in the minds of our people, especially young people, to convey the ideas glorified in his works.

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  • Authors: Hussein, H. N. (Hashem); Rasoul, A. M. (Ali);

    No personality in history like Imam Ali (peace be upon him), received the attention of historians and researchers, and the attention was not limited to his person only, but also extended to his followers and companions. This interest had two sides, the first being positive, reflecting the merit of the Imam and his followers over the Islamic heritage, and the other negative reflecting a viewpoint that adopted this aspect. His women, and in this research we shed light on one of the followers of the Imam, taking from him a model to know the ways that some scholars took to distort the image of the followers and companions of the Imam, peace be upon him, and to drop their argument.

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  • Authors: Marbun, T. (Tiarima);

    This remote classroom action research (CAR) was conducted to improve learning outcomes through CloudX, an application media. The subjects of this study were high school students, XII IPS-3 SMA Negeri 2 Tarakan. They are 33 students, consisting of 12 male students and 21 female students. It was chosen since the students are solid and easy to cooperate. There are many problems in it, but the students are generally more responsive to the teacher. This classroom action research was conducted in two cycles with three teaching meetings in each. Both is designed to improve their learning outcomes using the CloudX. The results of the research prove that through the media can improve the students' learning outcomes, as evidenced by the data in each aspect of observation. The action imlemented has been proved to have a good impact on the learning process. In the learning outcomes aspect, first cycle of meeting 1 showed 63.6% while in the second cycle of meeting 6 it increased to 90.9%% even though there were still 3 students or 9.1% had not achieved minimum completeness and 1 person was never present from the beginning research until the research is completed. Thus, the students who have not completed will be given remedial in a separate meeting in Google Classroom so as to achieve completeness in learning. Thus, learning using the CloudX has been proved to increase the student learning outcomes. It is recommended for teachers to use the CloudX Application in online learning.

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  • Authors: Odiljonovich, M. A. (Mahmudov);

    The article provides information about the events of the historical past, works dedicated to historical figures living in the recent or distant past, portrait compositions, works of Uzbek portrait painters. You can find information about some of the works from the historical past in world literature.

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  • Authors: Bahtiyarovna, S. S. (Samanova);

    The article deals with the analysis of English toponymic phraseological units in the context of their reflection of the picture of the world of the English-speaking society. Its relevance is due to the need to study the cultural factor in the language in the framework of linguistic research. However, toponymic phraseological units are extremely rarely studied, despite the fact that it is the toponym, which is part of the phraseological turnover, that is the linguistic sign that transmits information about the history, traditions, values of the culture of the people to future generations.

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32 Research products
  • Authors: Abiriyi, N. (Nathan); Kwasu, K. J. (Katung);

    The present research article examines the myriad ways that the Dikan ritual performance among the Bajju people of Kaduna State, Northern West, Nigeria, is celebrated. The Dikan ritual performance in its current enactment can be gleamed as a cultural space for the remembrance of the essence and cultural identity of the Bajju tribe, in a world under the threat of rapid globalization, socio-cultural, and historical changes; which is made more prevalent by the exerting force of technology, popular culture, and postmodern elements demonstrated through various social media platforms and news outlets. The study begins by highlighting the background of Dikan ritual performance in Kajju from the precolonial to postcolonial Northern Nigeria. It espouses on the nature and structure of this ritual and its relevance to the Bajju people. It then makes recommendations on ways of sustaining this practice, to save it from extinction.

    0
    citations0
    popularityAverage
    influenceAverage
    impulseAverage
    BIP!Powered by BIP!
    more_vert
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Vidyadhari, Dyota Cantacyacitta;

    Public opinion is needed to help the government navigate and evaluate policies. Information dissemination can shape public perception of important issues that occur and government regulations in an area where public knowledge of these matters is still limited. In Indonesia, the process of collecting public opinion is still far from available. Chances are if it is used consistently and as widely as possible, extracting public opinion holds true potential and is applicable across disciplines for micro to macro benefits. Sentiment analysis as an information extraction method is used to calculate sentiment in Indonesian-language online news articles regarding the Russia and Ukraine conflict that arises in 2022. This process is carried out using a lexicon-based approach to determine the polarity value of each data. The lexical dictionary used is the InSet Lexicon and based on the polarity value, the sentiment results will fall into 3 classes, namely positive, negative and neutral. The results of the news article sentiment classification show that more than 76% of the total 492 news stories are in the negative category, 20.5% are positive categories, and 3.3% are news with neutral sentiments. Pendapat masyarakat diperlukan untuk membantu pemerintah menavigasi dan mengevaluasi kebijakan yang diputuskan. Diseminasi informasi dapat membentuk persepsi publik terhadap isu-isu penting yang terjadi dan regulasi pemerintah di suatu wilayah di mana pengetahuan publik akan hal tersebut masih terbatas. Di Indonesia, proses pengumpulan opini publik masih terbatas padahal apabila digunakan secara konsisten dan seluas mungkin, potensi pemanfaatan ekstraksi opini publik dapat dipakai di lintas disiplin ilmu dari segi mikro hingga makro. Sentiment analysis sebagai salah satu metode ekstraksi informasi digunakan untuk mengkalkulasi sentimen dalam artikel berita online berbahasa Indonesia mengenai konflik Rusia dan Ukraina yang muncul di tahun 2022. Proses ini dilakukan menggunakan pendekatan berbasis lexicon untuk menentukan nilai polaritas setiap datanya. Kamus leksikal yang digunakan adalah InSet Lexicon dan berdasarkan nilai polaritasnya, hasil sentimen akan jatuh pada 3 kelas yaitu positif, negatif, dan netral. Hasil klasifikasi sentimen artikel berita menunjukkan lebih dari 76% dari total 492 berita masuk kategori negatif, 20,5% berita kategori positif, dan 3,3% berita bersentimen netral.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Institutional Reposi...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Institutional Reposi...arrow_drop_down
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Latumaerissa, Daniel Eliazar;

    Dalam penelitian ini dilakukan pengembangan sebuah Sistem Informasi Aktivitas Pembelajaran FISIKA yang disingkat SIAP FISIKA. Penelitian ini termasuk ke dalam bidang penelitian Natural Language Processing (NLP) yang melakukan kerja pemrosesan data teks menggunakan teknologi kecerdasan buatan / Artificial Intelligence (AI). Beberapa algoritma Machine Learning (ML) digunakan untuk memodelkan dan mengklasifikasi teks materi pelajaran dalam kelas “Topik Pelajaran Fisika” yang benar. Selanjutnya dilanjutkan dengan perekomendasian aktivitas belajar yang memiliki nilai cosine similarity > 0.1 dengan teks materi pelajaran. Dari proses pelatihan dan pengujian, algoritma Multinomial Naïve Bayes (MultiNB) memberikan rata – rata nilai akurasi terbaik yaitu sebesar 83.12 %. Akurasi maksimum didapatkan dengan menggunakan kombinasi MultiNB dan teknik ekstraksi fitur unigram yaitu sebesar 88.32 %. In this research, a development of an Information System for PHYSICS Learning Activities, which is abbreviated as SIAP FISIKA, was carried out. The research itself belongs to the field of Natural Language Processing (NLP) which performs text data processing using Artificial Intelligence (AI) technology. Machine Learning (ML) algorithms were used to model and classify the text of Physics lessons into correct class of topic in Physics. The process then is followed by recommending learning activities that have a cosine similarity value > 0.1 to the text. From the training and test, the Multinomial Naïve Bayes (MultiNB) algorithm gives the best average accuracy of 83.12%. The maximum accuracy is obtained by using a combination of MultiNB and unigram feature extraction technique, which is 88.32 %

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Institutional Reposi...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Institutional Reposi...arrow_drop_down
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  • Authors: Yadav, P. K. (Pradip);

    History, though it can be revived, rewritten and altered, always functions as a source of inspiriation and encouragement for the upcoming generations. Although it is prone to be distorted, contrived and re-interpreted by the following generations yet it constantly serves as a guiding light for future generations leading them in right direction without committing the mistakes which the human forefathers had mistakenly committed. History, an umbrella term, incorporates all the facets of traditions, myths and the past of a particular nation or many nations. Intermingling all these elements Julian Barnes's chapter ‘Parenthesis' in A History of the World in 10 ½ Chapters is embellished with various literary techniques as narrating English history, tradition, myth and the past through postmodern narrative strategies. The novel shares many concepts and trends with postmodern skills of writing fiction. Incorporating all the above elements A History of the World in 10 ½ Chapters rigidly confirms to the trend of postmodern fiction. This paper critically evaluates the half chapter entitled ‘Parenthesis' from Barnes's novel, A History of the World in 10 ½ Chapters.

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    popularityAverage
    influenceAverage
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  • Authors: Govinthasamy, D. (D); Sivakumar, M. V. (M); Anand, J. A. (J);

    This paper attempts to present an assessment of mythology and its significance in human life and Indian culture in Gita Mehta's A River Sutra. It also looks at her utilization of Indian mythology and its symbolic meaning from a sociocultural standpoint. It is a project to investigate her usage of Indian mythology and its symbolic meaning in current culture. She interprets renunciation and self-realization in A River Sutra in a very realistic and practical way. The author's concern for man's eternal desire for existence and survival in modern life is evident in the Narmada story and the narrators of the six stories. She clarifies for misled Westerners and Indians alike that it is the active life of karma, not the passive renunciation, that leads to knowledge and enlightenment. As a result, only action, unselfish activity, may assist man in attaining perfection and excelling in life.

    0
    citations0
    popularityAverage
    influenceAverage
    impulseAverage
    BIP!Powered by BIP!
    more_vert
  • Authors: Miltiqboy, S. (Suyunov); Mamadjanovich, T. I. (Toshmatov);

    This article provides information on a wide and comprehensive study of the legacy of our great thinker Alisher Navoi, the use of architecture in the minds of our people, especially young people, to convey the ideas glorified in his works.

    0
    citations0
    popularityAverage
    influenceAverage
    impulseAverage
    BIP!Powered by BIP!
    more_vert
  • Authors: Hussein, H. N. (Hashem); Rasoul, A. M. (Ali);

    No personality in history like Imam Ali (peace be upon him), received the attention of historians and researchers, and the attention was not limited to his person only, but also extended to his followers and companions. This interest had two sides, the first being positive, reflecting the merit of the Imam and his followers over the Islamic heritage, and the other negative reflecting a viewpoint that adopted this aspect. His women, and in this research we shed light on one of the followers of the Imam, taking from him a model to know the ways that some scholars took to distort the image of the followers and companions of the Imam, peace be upon him, and to drop their argument.

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    citations0
    popularityAverage
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  • Authors: Marbun, T. (Tiarima);

    This remote classroom action research (CAR) was conducted to improve learning outcomes through CloudX, an application media. The subjects of this study were high school students, XII IPS-3 SMA Negeri 2 Tarakan. They are 33 students, consisting of 12 male students and 21 female students. It was chosen since the students are solid and easy to cooperate. There are many problems in it, but the students are generally more responsive to the teacher. This classroom action research was conducted in two cycles with three teaching meetings in each. Both is designed to improve their learning outcomes using the CloudX. The results of the research prove that through the media can improve the students' learning outcomes, as evidenced by the data in each aspect of observation. The action imlemented has been proved to have a good impact on the learning process. In the learning outcomes aspect, first cycle of meeting 1 showed 63.6% while in the second cycle of meeting 6 it increased to 90.9%% even though there were still 3 students or 9.1% had not achieved minimum completeness and 1 person was never present from the beginning research until the research is completed. Thus, the students who have not completed will be given remedial in a separate meeting in Google Classroom so as to achieve completeness in learning. Thus, learning using the CloudX has been proved to increase the student learning outcomes. It is recommended for teachers to use the CloudX Application in online learning.

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  • Authors: Odiljonovich, M. A. (Mahmudov);

    The article provides information about the events of the historical past, works dedicated to historical figures living in the recent or distant past, portrait compositions, works of Uzbek portrait painters. You can find information about some of the works from the historical past in world literature.

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  • Authors: Bahtiyarovna, S. S. (Samanova);

    The article deals with the analysis of English toponymic phraseological units in the context of their reflection of the picture of the world of the English-speaking society. Its relevance is due to the need to study the cultural factor in the language in the framework of linguistic research. However, toponymic phraseological units are extremely rarely studied, despite the fact that it is the toponym, which is part of the phraseological turnover, that is the linguistic sign that transmits information about the history, traditions, values of the culture of the people to future generations.

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