Handling of Mathematical Expression on Latin-to-Balinese Script Transliteration Method on Mobile Computing

Indrawan, Gede; Dantes, Gede Rasben; Aryanto, Kadek Yota Ernanda; Paramarta, I Ketut

doi:10.1109/icic50835.2020.9288563

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…hal efisiensi, web scraping memungkinkan pengambilan data secara otomatis dari halaman web dengan kecepatan yang jauh lebih tinggi dibandingkan metode manual. Dengan menggunakan teknik ini, pengumpulan data dapat dilakukan secara simultan dari berbagai sumber secara bersamaan [15]- [17]. Selain itu, web scraping juga memungkinkan skalabilitas, di mana jumlah data yang dapat diambil tidak terbatas oleh batasan fisik manusia.…”

Section: Dalamunclassified

“…Dengan mengotomatiskan proses ini, web scraping memungkinkan pengumpulan data yang lebih cepat dan efisien dibandingkan dengan pencarian manual pada sumber fisik seperti buku atau prasasti [22]. Selain itu, web scraping juga memungkinkan pengumpulan data secara skalabilitas, di mana scraper dapat dijalankan pada berbagai sumber digital secara bersamaan, memungkinkan pengumpulan dataset aksara Bali dalam jumlah besar dalam waktu yang lebih singkat [23], [24]. Langkah Penggunaan dataset aksara Bali yang dihasilkan melalui web scraping memiliki potensi yang luas dalam berbagai konteks.…”

Section: Dalamunclassified

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Pembangkitan Dataset Aksara Bali Menggunakan Web Scrapping untuk Pengenalan Aksara Bali Berbasis Optical Character Recognition

Nugraha,

Asroni,

Dewi

et al. 2023

jurnalresistor

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Dataset gambar aksara Bali yang besar dan komprehensif adalah sumber daya penting dalam upaya pemeliharaan warisan budaya Bali serta pengembangan aplikasi terkait. Dataset ini memungkinkan analisis mendalam, pengenalan karakter, pemrosesan bahasa, dan pengujian aplikasi seperti pengenalan tulisan otomatis, pengajaran otomatis, dan pemahaman bahasa, yang semuanya mendukung kemajuan dalam pelestarian warisan budaya Bali. Metode penelitian untuk menghasilkan dataset aksara Bali melibatkan akses ke sumber data, analisis struktur web, dan penerapan teknik web scraping dengan JavaScript untuk pengambilan gambar secara otomatis. Dua tahap utama, yaitu inisiasi dan pengumpulan data, memungkinkan pengumpulan dataset dalam jumlah besar dengan efisiensi tinggi, mempercepat proses pengumpulan data dan meningkatkan akurasi dalam penelitian aksara Bali. Data yang digunakan berasal dari kamus bahasa Bali, bahasa Indonesia, dan bahasa Inggris, dengan total 35.319 kata dalam bahasa Bali, yang kemudian dikonversi menjadi aksara Bali. Hasil dari pembuatan dataset ini mencakup 35.319 pasang data berupa gambar teks aksara Bali dan tesk transliterasinya, memiliki potensi besar untuk pelatihan model pengenalan aksara Bali dan penelitian bahasa Bali. Langkah ini menguatkan ketersediaan dataset yang relevan, berkualitas tinggi, dan memiliki nilai signifikan dalam pengembangan teknologi serta penelitian lebih lanjut di bidang bahasa Bali dan pengenalan aksara Bali.

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Section: Dalamunclassified

Pembangkitan Dataset Aksara Bali Menggunakan Web Scrapping untuk Pengenalan Aksara Bali Berbasis Optical Character Recognition

Nugraha,

Asroni,

Dewi

et al. 2023

jurnalresistor

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“…The Bali Simbar Dwijendra (BSD) font, as the improvement of the BS font, was utilized in [15] with additional testing cases from the Balinese Script dictionary [7] to the same testing cases on [12]. It was also utilized in the exploration of the mathematical expression transliteration [16]. Ten transliteration lessons were also learned by using this font on the other testing data [17].…”

Section: Related Workmentioning

confidence: 99%

A Method to Accommodate Backward Compatibility on the Learning Application-based Transliteration to the Balinese Script

Indrawan¹,

Paramarta²,

Nurhayata³

et al. 2021

IJACSA

Self Cite

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This research proposed a method to accommodate backward compatibility on the learning application-based transliteration to the Balinese Script. The objective is to accommodate the standard transliteration rules from the Balinese Language, Script, and Literature Advisory Agency. It is considered as the main contribution since there has not been a workaround in this research area. This multi-discipline collaboration work is one of the efforts to preserve digitally the endangered Balinese local language knowledge in Indonesia. The proposed method covered two aspects, i.e. (1) Its backward compatibility allows for interoperability at a certain level with the older transliteration rules; and (2) Breaking backward compatibility at a certain level is unavoidable since, for the same aspect, there is a contradictory treatment between the standard rule and the old one. This study was conducted on the developed web-based transliteration learning application, BaliScript, where its Latin text input will be converted into the Balinese Script output using the dedicated Balinese Unicode font. Through the experiment, the proposed method gave the expected transliteration results on the accommodation of backward compatibility.

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“…Bali Simbar Dwijendra (BSD) font, as the improvement of Bali Simbar (BS) font, was used in (G. Indrawan, Swastika, et al, 2020) with additional testing cases from the Balinese Script dictionary (Anom et al, 2009), in addition to the same testing cases on (G. Indrawan, Sariyasa, et al, 2019). It was also used on the transliteration exploration of the mathematical expression (G. Indrawan, Dantes, et al, 2020). Ten transliteration lessons were also learned by using this font on the extended testing data (G. Indrawan et al, 2021)…”

Section: Related Workmentioning

confidence: 99%

A Method for the Affixed Word Transliteration to the Balinese Script on the Learning Web Application

Indrawan¹

2021

TURCOMAT

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This research proposed a method for the affixed word transliteration to the Balinese Script since there has not been studied yet and it is important since the affixed word needs to be transliterated, inevitably. This research is one of the efforts to preserve digitally the endangered Balinese local language knowledge in Indonesia through the multi-discipline collaboration between Computer Science and Language discipline. The proposed method was taken care of two related aspects, i.e.; (1) A Latin root word has its related Balinese Script root word by using default or special transliteration rule; and (2) A Latin root word with a special transliteration rule for its Balinese Script root word, also need a special transliteration rule for its affixed word. This study was conducted on the pioneering web-based transliteration learning application, BaliScript, that receives the Latin text input and outputs the Balinese Script by using the Noto Serif Balinese font with its dedicated Balinese Unicode. Through the experiment, the proposed method gave the expected transliteration results, added a certain perspective, and strengthened the transliteration knowledge. Future work is to enhance and reuse this method on the mobile computing device, as a part of the Balinese Language ubiquitous learning that supports Balinese Language education, which is a mandatory local subject from the elementary school to the high school in Bali Province.

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Handling of Mathematical Expression on Latin-to-Balinese Script Transliteration Method on Mobile Computing

Cited by 7 publications

References 11 publications

Pembangkitan Dataset Aksara Bali Menggunakan Web Scrapping untuk Pengenalan Aksara Bali Berbasis Optical Character Recognition

Pembangkitan Dataset Aksara Bali Menggunakan Web Scrapping untuk Pengenalan Aksara Bali Berbasis Optical Character Recognition

A Method to Accommodate Backward Compatibility on the Learning Application-based Transliteration to the Balinese Script

A Method for the Affixed Word Transliteration to the Balinese Script on the Learning Web Application

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