The Implementation of Yandex Engine on Live Translator Application for Bahasa and English Using Block Programming MIT App Inventor Mobile Based

Oktoverano Lengkong, S.Kom., M.Ds., Green Mandias, Marchel Tombeng


One of the international languages used today is English. One of the essential things that become the principal capital is the mastery of foreign languages to compete and advance. In communicating, one of the supporting tools used today is a smartphone. They saw the needs and opportunities in terms of communication. The author does research, namely: the use of the Yandex engine, which will be implemented in an Indonesian and English translator application, which is expected to help users to get international language translation results, in terms of vocabulary or vocabulary, as well as pronunciation or how to pronounce/pronunciation words. The research method used is SDLC (Software Development Life Cycle). This method has analysis phases, system design phases, testing phases, and publication phases. This application is built for Android Operating System. The Yandex Engine is used as a translation engine in this research. MIT App Inventor is a tool used to build android-based applications; this tool is a visual programming scratch framework from MIT and implementation of Open Block distributed by the MIT Scheller Teacher Education Program. The result of this research is a mobile-based Indonesian and English Direct Translator engine. MIT App Inventor can work well using the Yandex search engine, which can produce a Live Translator whose features all work correctly and can be said to have the same results as other software development kits.

Keywords—Yandex Engine, MIT App Inventor, Visual Programming, Open Block

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E. Lewis, M. Paul, “Languages of the World,” SIL Publications, no. 16th edition. 2009.

E. Arik, Beril, "The Journal of English as an international language," EILJ, vol. 10, no. 1, 2015.

A. Chaer, Leksikologi dan Leksikografi Bahasa Indonesia. Jakarta: Rineka Cipta, 2007.

T. Hayashi et al., “Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit,” in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2020, vol. 2020-May, doi: 10.1109/ICASSP40776.2020.9053512.

A. Sun, J. Wang, N. Cheng, H. Peng, Z. Zeng, and J. Xiao, “GraphTTS: Graph-to-Sequence Modelling in Neural Text-to-Speech,” in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2020, vol. 2020-May, doi: 10.1109/ICASSP40776.2020.9053355.

E. Van Laere and J. van Braak, “Auditory support in linguistically diverse classrooms: factors related to bilingual text-to-speech use,” J. Comput. Assist. Learn., vol. 33, no. 1, 2017, doi: 10.1111/jcal.12171.

E. K. Bone and E. C. Bouck, “Accessible text-to-speech options for students who struggle with reading,” Prev. Sch. Fail., vol. 61, no. 1, 2017, doi: 10.1080/1045988X.2016.1188366.

Y. Shiga, J. Ni, K. Tachibana, and T. Okamoto, “Text-to-speech synthesis,” in SpringerBriefs in Computer Science, 2020.

S. G. Wood, J. H. Moxley, E. L. Tighe, and R. K. Wagner, “Does Use of Text-to-Speech and Related Read-Aloud Tools Improve Reading Comprehension for Students With Reading Disabilities? A Meta-Analysis,” J. Learn. Disabil., vol. 51, no. 1, 2018, doi: 10.1177/0022219416688170.

B. D. Widiyanto, A., Mahardika, “Aplikasi Screen Lock Pada Smartphone Menggunakan Identifikasi Wajah dengan menerapkan Pointwise,” CITEC J., vol. 1, pp. 1–14, 2014.

D. Kravchenko, “Paraphrase detection using machine translation and textual similarity algorithms,” in Communications in Computer and Information Science, 2018, vol. 789, doi: 10.1007/978-3-319-71746-3_22.

Пестерев and P. Pesterev, “ANALYSIS OF IMPROVEMENTS IN THE SEARCH ENGINE ALGORITHMS OF YANDEX AND GOOGLE,” Bull. Belgorod State Technol. Univ. named after. V. G. Shukhov, vol. 2, no. 3, 2017, doi: 10.12737/24888.

“About Yandex,” 2021.

K. E. Bauman, A. N. Kornetova, V. A. Topinskii, and D. A. Khakimova, “Optimization of click-through rate prediction in the Yandex search engine,” Autom. Doc. Math. Linguist., vol. 47, no. 2, 2013, doi: 10.3103/s0005105513020040.

MIT, “MIT App Inventor | Explore MIT App Inventor,” Anyone Can Build Apps That Impact the World, 2019. .

S. B. Mir and G. F. Llueca, “Introduction to Programming Using Mobile Phones and MIT App Inventor,” IEEE Rev. Iberoam. Tecnol. del Aprendiz., vol. 15, no. 3, pp. 192–201, Aug. 2020, doi: 10.1109/RITA.2020.3008110.

MIT App Inventor, “About MIT App Inventor,” 2019. (accessed Feb. 04, 2019).

M. I. of Technology, “About Us | Explore MIT App Inventor,” App Inventor Official Web Site, 2014. .

O. L. Blesy Tangka, “PERANCANGAN PAPAN BULETIN ELEKTRONIK DI UNIVERSITAS KLABAT,” J. VOI (Voice Informatics), vol. 6, no. 1, 2016.

N. B. Ruparelia, “Software development lifecycle models,” ACM SIGSOFT Softw. Eng. Notes, 2010, doi: 10.1145/1764810.1764814.

R. S. Pressman, Software Engineering A Practitioner’s Approach 7th Edition. 2010.



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