PARALLEL ALGORITHMS FOR EFFICIENT TRANSLATION DICTIONARIES

Authors

  • Abidova Sh.B. Dotsent, Tashkent university of information technologies named after Muhammad Al-Khwarizmi
  • Abidova Sh.B. Dotsent, Tashkent university of information technologies named after Muhammad Al-Khwarizmi
  • Xolmuminov Y.X Assistant Teacher, Tashkent university of information technologies named after Muhammad Al-Khwarizmi

Keywords:

Parallel algorithms, Translation dictionaries, Cross-lingual communication, Language translation, Efficiency, Performance optimization, Parallel computing, Parallel data structures, Parallel processing.

Abstract

Translation dictionaries play a vital role in facilitating cross-lingual communication and enabling language-related applications. With the increasing demand for accurate and efficient translation systems, the integration of parallel algorithms has emerged as a promising approach. This abstract explores the intersection of parallel algorithms and translation dictionaries, focusing on the benefits and challenges of leveraging parallel computing techniques to enhance efficiency and performance. We discuss the importance of translation dictionaries and highlight the potential of parallel algorithms in optimizing their functionality. Specifically, we examine parallel data structures and parallel processing techniques for translation dictionaries. We address the challenges associated with load balancing, data dependencies, synchronization, and scalability. Evaluation and performance analysis are emphasized to assess the effectiveness of parallel algorithms. Overall, this abstract underlines the significance of parallel algorithms in improving the efficiency and accuracy of translation dictionaries, paving the way for more effective cross-lingual communication and language-related applications.

References

. Google Patents [Электронный ресурс]/ Intonation adjustment in text-to-speech systems/ Shankar Narayan/ URL: https://patents.google.com/patent/US5642466A/en (дата обращения 27.02.2020)

. Google Patents [Электронный ресурс]/ Text to speech/ Edwin R. AddisonH. Donald WilsonGary MarpleAnthony H. HandalNancy

Krebs/ URL: https://patents.google.com/patent/US6865533B2/en (дата обращения 27.02.2020)

. arXiv.org [Электронный ресурс]/ WAVENET: A GENERATIVE MODEL FOR RAW AUDIO/ Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu/ URL: https://arxiv.org/pdf/1609.03499.pdf (дата обращения 11.02.2020)

. arXiv.org [Электронный ресурс]/ Deep Voice: Real-time Neural Text-to-Speech/ Sercan O. Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi/ URL: https://arxiv.org/pdf/1702.07825.pdf (дата обращения 11.02.2020)

. arXiv.org [Электронный ресурс]/ Tacotron: Towards End-to-End Speech Synthesis/ Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous/ URL: https://arxiv.org/pdf/1703.10135.pdf (дата обращения 27.02.2020)

. B arXiv.org [Электронный ресурс]/ Deep Voice 2: Multi-Speaker Neural Text-to-Speech/ Sercan Arik, Gregory Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou/ URL: https://arxiv.org/pdf/1705.08947.pdf (дата обращения 27.02.2020)

. Semantic Scholar [Электронный ресурс]/ Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System using Deep Recurrent Neural Networks/ Cassia Valentini-Botinhao, Xin Wang, Shinji Takaki, Junichi Yamagishi/URL: https://pdfs.semanticscholar.org/ed99/08f71d6521a45093ffc 0f9365315c1183604.pdf (дата обращения 27.02.2020)

Kuyoshbek, Y., Nurmukhammad, K., Arabboy, Y., Sardorbek, S., & Saydaliyevich, U. S. (2022). THE CONQUEST OF CENTRAL ASIA BY THE ARABS. In INTERNATIONAL SCIENTIFIC RESEARCH CONFERENCE (Vol. 1, No. 4, pp. 130-134).

Saydaliyevich, U. S., & Sardorbek, S. (2022). FIGHT AGAINST OFFENSES. RESPONSIBILITY OF MILITARY SERVICES. PEDAGOGICAL SCIENCES AND TEACHING METHODS, 361.

Muratovich, M. A., & Sardorbek, S. (2022). CORRUPTION-SOCIETY'S ARMY. THE YOUTH AND THE STATE ARE INTO THE MUD. IJODKOR O'QITUVCHI, 2(24), 137-149.

Muratovich, M. A., & Sardorbek, S. (2022). CORRUPTION-SOCIETY'S ARMY. THE YOUTH AND THE STATE ARE INTO THE MUD. PEDAGOG, 1(3), 698-712.

Otakoziyevna, G. F., & Mamazul, A. M. (2022). THE IMPORTANT ROLE OF EDUCATION IN EDUCATION OF YOUTH. Galaxy International Interdisciplinary Research Journal, 10(1), 381-383.

Muratovich, M. A., & Sardorbek No‘monjon o’g, S. (2022). TALABALARNI HARBIY VATANPARVARLIK TARBIYASINING ASOSIY VAZIFALARI VA YO’NALISHLARI, HARBIY VATANPARVARLIK TARBIYASIDAGI SAMARADORLIKKA ERISHISH YO’LLARI. Finland International Scientific Journal of Education, Social Science & Humanities, 10(11), 8-11.

Мамаджанов, А. М., & Султoнов, С. (2023). ПРАВО И ЕГО РОЛЬ В ГОСУДАРСТВЕННОМ СТРОИТЕЛЬСТВЕ. ВОПРОСЫ ЗАЩИТЫ ГОСУДАРСТВА В КОНСТИТУЦИИ РЕСПУБЛИКИ УЗБЕКИСТАН. Finland International Scientific Journal of Education, Social Science & Humanities, 11(2), 330-337.

Мамаджанов, А. М., & Султoнов, С. (2023). ОБЩИЕ ПОЛОЖЕНИЯ И ОСНОВНЫЕ ЗАДАЧИ ЗАКОНА РЕСПУБЛИКИ УЗБЕКИСТАН «ОБ ОБОРОНЕ». O'ZBEKISTONDA FANLARARO INNOVATSIYALAR VA ILMIY TADQIQOTLAR JURNALI, 2(17), 459-465.

Sardorbek No’monjon o’g, S. (2022). VATANPARVARLIK TARBIYASIDA MUZEYLARNING MUXIM AHAMIYATI. THE THEORY OF RECENT SCIENTIFIC RESEARCH IN THE FIELD OF PEDAGOGY, 1(4), 166-168.

Sardorbek No’monjon o’g, S. (2022). VATANPARVARLIK MAVZUSIDAGI MA’RUZA, REFERATLAR TAYYORLASH VA UNGA QO’YILGAN TALABLAR. INNOVATION IN THE MODERN EDUCATION SYSTEM, 3(25), 395-398.

Sardorbek No’monjon o’g, S. (2022). VATANPARVARLIK MAVZUSIDA NAZARIY KONFERENSIYaLARNI MAQSAD VA VAZIFALARI. O'ZBEKISTONDA FANLARARO INNOVATSIYALAR VA ILMIY TADQIQOTLAR JURNALI, 2(14), 1120-1121.

Muratovich, M. A., & Sardorbek No’monjon o’g, S. (2023). TALABALARGA YOSHLARNING HARBIY-VATANPARVARLIK TARBIYASIDA BADIIY ADABIYOTNING AHAMIYATI BO ‘YICHA AMALIY BILIM BERISH. Finland International Scientific Journal of Education, Social Science & Humanities, 11(5), 1984-1989.

Sardorbek No’monjon o’g, S. (2022). YOSHLARNI VATANPARVARLIK RUXIDA TARBIYALASHDA URUSH VA MEHNAT FAXRIYLARI BILAN TEMATIK KECHA VA UCHRASHUVLAR O ‘TKAZISHNING MAQSAD VA VAZIFALARI. SCIENTIFIC ASPECTS AND TRENDS IN THE FIELD OF SCIENTIFIC RESEARCH, 1(5), 123-125.

Sardorbek No’monjon o’g, S. (2022). O’SIB KELAYOTGAN YOSH AVLODGA HARBIY TEKNIKA TO’GARAKLARINI TASHKILLASHTIRISH VA ULAR BILAN A’MALIYOTDA TADBIQ ETISH. THEORY AND ANALYTICAL ASPECTS OF RECENT RESEARCH, 1(10), 141-143.

Sardorbek No’monjon o’g, S. (2022). O ‘QUVCHILAR HARBIY VATANPARVARLIK TARBIYASINING ASOSIY VAZIFALARI VA YO’NALISHLARI, HARBIY VATANPARVARLIK TARBIYASIDAGI SAMARADORLIKKA ERISHISH YO’LLARI. SCIENTIFIC APPROACH TO THE MODERN EDUCATION SYSTEM, 1(10), 186-189.

Xaydarali o’g’li, X. N., Komiljon o’g’li, Y. Q., Sardorbek No’monjon o’g, S., & Saydaliyevich, U. S. (2022). VATANPARVARLIK MAVZUSIDA NAZARIY KONFERENSIYALAR TAYYORLASH VA O ‘TKAZISH. INTELLECTUAL EDUCATION TECHNOLOGICAL SOLUTIONS AND INNOVATIVE DIGITAL TOOLS, 1(12), 107-111.

Sardorbek No’monjon o’g, S. (2022). MASHG ‘ULOTLARDA VATANPARVARLIK MAVZUSIDAGI KINOFILMLARDAN FOYDALANISH TARTIBI. ULARNI TANLASH VA NAMOYISH ETISH. PEDAGOGICAL SCIENCES AND TEACHING METHODS, 2(18), 359-363.

Sardorbek No’monjon o’g, S. (2022). YOSHLARNI VATANPARVARLIK RUXIDA TARBIYALASHDA URUSH VA MEHNAT FAXRIYLARI BILAN TEMATIK KECHALAR VA UCHRASHUVLAR O ‘TKAZISHNING MAQSAD VA VAZIFALARI. PEDAGOG, 5(7), 1340-1342.

Sardorbek No’monjon o’g, S. (2022). YOSHLARNI VATANPARVARLIK RUXIDA TARBIYALASHDA JANGOVAR BAYROQQA VA HARBIY QASAMYODGA SODIQLIK HISSINI UYG’OTISH. MODELS AND METHODS FOR INCREASING THE EFFICIENCY OF INNOVATIVE RESEARCH, 2(18), 355-357.

PERSON, F. O. A. H. S. FarDU. Faculty of Military Education student.

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Published

2024-01-16

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