A method for solving scriptio continua in Javanese manuscript transliteration

Abstract

Many Javanese manuscripts in Indonesia are stored in museums and libraries. Most of these manuscripts were written using local scripts that are rarely used in everyday life, and hence a software application that can help and improve the reading of these manuscripts is valuable. An essential step in automatic manuscript image transliteration is post-processing, which involves editing and concatenating syllables into words. The main problem of post-processing is that there exists no symbol for space between words in a sentence, which is called the scriptio-continua problem. This paper proposes methods based on the backtracking algorithm to solve the scriptio continua in the post-processing step of Javanese manuscript image transliteration. The proposed methods use a depth-first search in seeking relevant candidate words to determine whether to merge a new syllable or not. The results of the proposed methods to concatenate 17,687 syllables from the Hamong Tani book using a dictionary containing 49,801 words are found to be satisfactory in terms of computation and accuracy. The accuracy of the implemented greedy and brute-force methods is both 81.64%. However, the greedy-based method is more efficient and has a better performance than the brute-force method.

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

“…Even though Balinese Script employs scriptio continua style [35], Fig. 4 shows its transliteration result in non-scriptio continua style (including preserved line breaks) which is possible to be generated for ease of visual analysis by the BaliScript learning application.…”

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

“…Balinese Script writing uses the non-scriptio-continua style (Widiarti & Pulungan, 2020) which means the output should fully occupy all of the writing space without paragraph and line break. For ease of learning and also for the ease of visual analysis, this aspect could be accommodated in the future by a feature to switch between the scriptio-continua style (the traditional look) and the non-scriptio-continua style (the modern look).…”

“…As the Balinese Script adheres with its scriptio-continua writing style like its relatively close (geographically and culturally) Javanese Script (Widiarti & Pulungan, 2020), several related works on Latin-to-Balinese Script transliteration were conducted on the previous author"s works (Crisnapati et al, 2019 (Sudewa, 2003). It was also used on the developed robotic system that writing Balinese Script from Latin text input (Crisnapati et al, 2019), and on the transliteration line-breaking handling exploration (G. Indrawan, Setemen, et al, 2020).…”

Pattern Recognition of Sarong Fabric Using Machine Learning Approach Based on Computer Vision for Cultural Preservation

“…Those values were computed using Eqs. (1) to (5). These features were extracted in each channel of RGB, HSV, HSI, YIQ, and YCbCr color spaces; hence 75 color features were obtained.…”

“…The cultural heritage of each country is diverse in various forms, including historical documents [1,2], stone carving [3], text [4][5][6], and traditional fabric [7][8][9]. Indonesia has the traditional fabric recognized as one of the country's cultural heritage in the form of batik and sarong fabric.…”