Association Relative À La Télévision Européenne G.E.I.E. Gtld: .Arte Status: ICANN Review Status Date: 2015-10-27 17:43:58 Print Date: 2015-10-27 17:44:13
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A Method to Accommodate Backward Compatibility on the Learning Application-Based Transliteration to the Balinese Script
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 12, No. 6, 2021 A Method to Accommodate Backward Compatibility on the Learning Application-based Transliteration to the Balinese Script 1 3 4 Gede Indrawan , I Gede Nurhayata , Sariyasa I Ketut Paramarta2 Department of Computer Science Department of Balinese Language Education Universitas Pendidikan Ganesha (Undiksha) Universitas Pendidikan Ganesha (Undiksha) Singaraja, Indonesia Singaraja, Indonesia Abstract—This research proposed a method to accommodate transliteration rules (for short, the older rules) from The backward compatibility on the learning application-based Balinese Alphabet document 1 . It exposes the backward transliteration to the Balinese Script. The objective is to compatibility method to accommodate the standard accommodate the standard transliteration rules from the transliteration rules (for short, the standard rules) from the Balinese Language, Script, and Literature Advisory Agency. It is Balinese Language, Script, and Literature Advisory Agency considered as the main contribution since there has not been a [7]. This Bali Province government agency [4] carries out workaround in this research area. This multi-discipline guidance and formulates programs for the maintenance, study, collaboration work is one of the efforts to preserve digitally the development, and preservation of the Balinese Language, endangered Balinese local language knowledge in Indonesia. The Script, and Literature. proposed method covered two aspects, i.e. (1) Its backward compatibility allows for interoperability at a certain level with This study was conducted on the developed web-based the older transliteration rules; and (2) Breaking backward transliteration learning application, BaliScript, for further compatibility at a certain level is unavoidable since, for the same ubiquitous Balinese Language learning since the proposed aspect, there is a contradictory treatment between the standard method reusable for the mobile application [8], [9]. -
UAX #44: Unicode Character Database File:///D:/Uniweb-L2/Incoming/08249-Tr44-3D1.Html
UAX #44: Unicode Character Database file:///D:/Uniweb-L2/Incoming/08249-tr44-3d1.html Technical Reports L2/08-249 Working Draft for Proposed Update Unicode Standard Annex #44 UNICODE CHARACTER DATABASE Version Unicode 5.2 draft 1 Authors Mark Davis ([email protected]) and Ken Whistler ([email protected]) Date 2008-7-03 This Version http://www.unicode.org/reports/tr44/tr44-3.html Previous http://www.unicode.org/reports/tr44/tr44-2.html Version Latest Version http://www.unicode.org/reports/tr44/ Revision 3 Summary This annex consolidates information documenting the Unicode Character Database. Status This is a draft document which may be updated, replaced, or superseded by other documents at any time. Publication does not imply endorsement by the Unicode Consortium. This is not a stable document; it is inappropriate to cite this document as other than a work in progress. A Unicode Standard Annex (UAX) forms an integral part of the Unicode Standard, but is published online as a separate document. The Unicode Standard may require conformance to normative content in a Unicode Standard Annex, if so specified in the Conformance chapter of that version of the Unicode Standard. The version number of a UAX document corresponds to the version of the Unicode Standard of which it forms a part. Please submit corrigenda and other comments with the online reporting form [Feedback]. Related information that is useful in understanding this annex is found in Unicode Standard Annex #41, “Common References for Unicode Standard Annexes.” For the latest version of the Unicode Standard, see [Unicode]. For a list of current Unicode Technical Reports, see [Reports]. -
Tungumál, Letur Og Einkenni Hópa
Tungumál, letur og einkenni hópa Er letur ómissandi í baráttu hópa við ríkjandi öfl? Frá Tifinagh og rúnaristum til Pixação Þorleifur Kamban Þrastarson Lokaritgerð til BA-prófs Listaháskóli Íslands Hönnunar- og arkitektúrdeild Desember 2016 Í þessari ritgerð er reynt að rökstyðja þá fullyrðingu að letur sé mikilvægt og geti jafnvel undir vissum kringumstæðum verið eitt mikilvægasta vopnið í baráttu hópa fyrir tilveru sinni, sjálfsmynd og stað í samfélagi. Með því að líta á þrjú ólík dæmi, Tifinagh, rúnaletur og Pixação, hvert frá sínum stað, menningarheimi og tímabili er ætlunin að sýna hvernig saga leturs og týpógrafíu hefur samtvinnast og mótast af samfélagi manna og haldist í hendur við einkenni þjóða og hópa fólks sem samsama sig á einn eða annan hátt. Einkenni hópa myndast oft sem andsvar við ytri öflum sem ógna menningu, auði eða tilverurétti hópsins. Hópar nota mismunandi leturtýpur til þess að tjá sig, tengjast og miðla upplýsingum. Það skiptir ekki eingöngu máli hvað þú skrifar heldur hvernig, með hvaða aðferðum og á hvaða efni. Skilaboðin eru fólgin í letrinu sjálfu en ekki innihaldi letursins. Letur er útlit upplýsingakerfis okkar og hefur notkun ritmáls og leturs aldrei verið meiri í heiminum sem og læsi. Ritmál og letur eru algjörlega samofnir hlutir og ekki hægt að slíta annað frá öðru. Ekki er hægt að koma frá sér ritmáli nema í letri og þessi tvö hugtök flækjast því oft saman. Í ljósi athugana á þessum þremur dæmum í ritgerðinni dreg ég þá ályktun að letur spilar og hefur spilað mikilvægt hlutverk í einkennum þjóða og hópa. Letur getur, ásamt tungumálinu, stuðlað að því að viðhalda, skapa eða eyðileggja menningu og menningarlegar tenginga Tungumál, letur og einkenni hópa Er letur ómissandi í baráttu hópa við ríkjandi öfl? Frá Tifinagh og rúnaristum til Pixação Þorleifur Kamban Þrastarson Lokaritgerð til BA-prófs í Grafískri hönnun Leiðbeinandi: Óli Gneisti Sóleyjarson Grafísk hönnun Hönnunar- og arkitektúrdeild Desember 2016 Ritgerð þessi er 6 eininga lokaritgerð til BA-prófs í Grafískri hönnun. -
A Translation of the Malia Altar Stone
MATEC Web of Conferences 125, 05018 (2017) DOI: 10.1051/ matecconf/201712505018 CSCC 2017 A Translation of the Malia Altar Stone Peter Z. Revesz1,a 1 Department of Computer Science, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA Abstract. This paper presents a translation of the Malia Altar Stone inscription (CHIC 328), which is one of the longest known Cretan Hieroglyph inscriptions. The translation uses a synoptic transliteration to several scripts that are related to the Malia Altar Stone script. The synoptic transliteration strengthens the derived phonetic values and allows avoiding certain errors that would result from reliance on just a single transliteration. The synoptic transliteration is similar to a multiple alignment of related genomes in bioinformatics in order to derive the genetic sequence of a putative common ancestor of all the aligned genomes. 1 Introduction symbols. These attempts so far were not successful in deciphering the later two scripts. Cretan Hieroglyph is a writing system that existed in Using ideas and methods from bioinformatics, eastern Crete c. 2100 – 1700 BC [13, 14, 25]. The full Revesz [20] analyzed the evolutionary relationships decipherment of Cretan Hieroglyphs requires a consistent within the Cretan script family, which includes the translation of all known Cretan Hieroglyph texts not just following scripts: Cretan Hieroglyph, Linear A, Linear B the translation of some examples. In particular, many [6], Cypriot, Greek, Phoenician, South Arabic, Old authors have suggested translations for the Phaistos Disk, Hungarian [9, 10], which is also called rovásírás in the most famous and longest Cretan Hieroglyph Hungarian and also written sometimes as Rovas in inscription, but in general they were unable to show that English language publications, and Tifinagh. -
Documenting Endangered Alphabets
Documenting endangered alphabets Industry Focus Tim Brookes Three years ago, acting on a notion so whimsi- cal I assumed it was a kind of presenile monoma- nia, I began carving endangered alphabets. The Tdisclaimers start right away. I’m not a linguist, an anthropologist, a cultural historian or even a woodworker. I’m a writer — but I had recently started carving signs for friends and family, and I stumbled on Omniglot.com, an online encyclo- pedia of the world’s writing systems, and several things had struck me forcibly. For a start, even though the world has more than 6,000 Figure 1: Tifinagh. languages (some of which will be extinct even by the time this article goes to press), it has fewer than 100 scripts, and perhaps a passing them on as a series of items for consideration and dis- third of those are endangered. cussion. For example, what does a written language — any writ- Working with a set of gouges and a paintbrush, I started to ten language — look like? The Endangered Alphabets highlight document as many of these scripts as I could find, creating three this question in a number of interesting ways. As the forces of exhibitions and several dozen individual pieces that depicted globalism erode scripts such as these, the number of people who words, phrases, sentences or poems in Syriac, Bugis, Baybayin, can write them dwindles, and the range of examples of each Samaritan, Makassarese, Balinese, Javanese, Batak, Sui, Nom, script is reduced. My carvings may well be the only examples Cherokee, Inuktitut, Glagolitic, Vai, Bassa Vah, Tai Dam, Pahauh of, say, Samaritan script or Tifinagh that my visitors ever see. -
Improvement Accuracy of Recognition Isolated Balinese Characters with Deep Convolution Neural Network
Journal of Applied Intelligent System (e-ISSN : 2502-9401 | p-ISSN : 2503-0493) Vol. 4 No. 1, 2019, pp. 22 – 27 Improvement Accuracy of Recognition Isolated Balinese Characters with Deep Convolution Neural Network Ida Bagus Teguh Teja Murti*1 Universitas Pendidikan Ganesha, Jalan Udayana No 11 Singaraja Bali 8116, (+62362) 22570 E-mail : [email protected]*1 *Corresponding author Abstract - The numbers of Balinese script and the low quality of palm leaf manuscripts provide a challenge for testing and evaluation for character recognition. The aim of high accuracy for character recognition of Balinese script,we implementation Deep Convolution Neural Network using SmallerVGG (Visual Geometry Group) Architectur for character recognition on palm leaf manuscripts. We evaluated the performance that methods and we get accuracy 87,23% . Keywords - Classfication, Deep Neural Network, Balinese Characters, Visual Geometry Group 1. INTRODUCTION Isolated handwritten character recognition (IHCR) has been the subject of vigorous research in recent years. Some populer methods in this case are CNN for recognition numbers in the MNIST digits image database [1] . There are challenges in character recognition in some scripts, such as Chinese characters [2] and Balinese characters [3] , which have more characters than numbers in MNIST. Beside numbers character there is issue in recognition character in document made palm leaf manuscript that is the condition of document has been degenerated. Therefore the researcher must carry out the process of digitizing the palm leaf manuscript, automatic analysis and the indexing system of the script simultaneously. The activity goal is bring added value to digital palm leaf manuscripts by developing tools for analyzing, developing and accessing quickly and efficiently script content. -
A Message from Afar: Fact Sheet 3 (PDF)
3 What’s the Message? Here’s your signal The detection of a signal from another world would be a most remarkable moment in human history. However, if we detect such a signal, is it just a beacon from their technology, without any content, or does it contain information or even a message? Does it resemble sound, or is it like interstellar e-mail? Can we ever understand such a message? This appears to be a tremendous challenge, given that we still have many scripts from our own antiquity that remain undeciphered, despite many serious attempts, over hundreds of years. – And we know far more about humanity than about extra-terrestrial intelligence… We are facing all the complexities involved in understanding and glimpsing the intellect of the author, while the world’s expectations demand immediacy of information. So, where do we begin? Structure and language Information stands out from randomness, it is based on structures. The problem goal we face, after we detect a signal, is to first separate out those information-carrying signals from other phenomena, without being able to engage in a dialogue, and then to learn something about the structure of their content in the passing. This means that we need a suitable filter. We need a way of separating out the interesting stuff; we need a language detector. While identifying the location of origin of a candidate signal can rule out human making, its content could involve a vast array of possible structures, some of which may be beyond our knowledge or imagination; however, for identifying intelligence that shares any pattern with our way of processing and transmitting information, the collective knowledge and examples here on Earth are a good starting point. -
Recognition of Baybayin Symbols (Ancient Pre-Colonial Philippine Writing System) Using Image Processing
ISSN 2278-3091 Volume 9, No.1, January – February 2020 Mark Jovic A. Daday et al., International Journal of Advanced Trends in Computer Science and Engineering, 9(1), January – February 2020, 594 – 598 International Journal of Advanced Trends in Computer Science and Engineering Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse83912020.pdf https://doi.org/10.30534/ijatcse/2020/83912020 Recognition of Baybayin Symbols (Ancient Pre-Colonial Philippine Writing System) using Image Processing Mark Jovic A. Daday1, Arnel C. Fajardo2, Ruji P. Medina3 1 Technological Institute of the Philippines, Quezon City, Philippines, [email protected] 2 School of Computer Science Manuel L. Quezon University, Diliman, Quezon City, Philippines, [email protected] 3 Technological Institute of the Philippines, Quezon City, Philippines, [email protected] because of the recognition problems encountered. Due to its ABSTRACT problem faces throughout recognition, computer is incapable to take out the features correctly when scanning them in [4]. The goal of this paper is to accomplish an Optical Character Recognition (OCR) that gives an extremely contribution to Alternatively, unusual modern methods for a several the advancement of technology in terms of image recognition concealed datasets of text and images were faced into more in Machine Learning. The researcher introduces the experiments, that directs to a compilation of multiple type of Feed-Forward Neural Network with Dropout Method font and unusual ruin degree in [5]. The goal of this paper is to (FFNNDM) and Convolutional Neural Network with Dropout accomplish an OCR system for the Baybayin handwriting Method (CNNDM) for the recognition of the Baybayin symbols or so called (“Alibata) an ancient and national symbols. -
1 Brahmi Word Recognition by Supervised Techniques
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 5 June 2020 doi:10.20944/preprints202006.0048.v1 Brahmi word recognition by supervised techniques Neha Gautam 1*, Soo See Chai1, Sadia Afrin2, Jais Jose3 1 Faculty of Computer Science and Information Technology, University Malaysia Sarawak 2 Institute of Cognitive Science, Universität Osnabrück 3Amity University, Noida, India *[email protected] [email protected] Abstract: Significant progress has made in pattern recognition technology. However, one obstacle that has not yet overcome is the recognition of words in the Brahmi script, specifically the recognition of characters, compound characters, and word because of complex structure. For this kind of complex pattern recognition problem, it is always difficult to decide which feature extraction and classifier would be the best choice. Moreover, it is also true that different feature extraction and classifiers offer complementary information about the patterns to be classified. Therefore, combining feature extraction and classifiers, in an intelligent way, can be beneficial compared to using any single feature extraction. This study proposed the combination of HOG +zonal density with SVM to recognize the Brahmi words. Keeping these facts in mind, in this paper, information provided by structural and statistical based features are combined using SVM classifier for script recognition (word-level) purpose from the Brahmi words images. Brahmi word dataset contains 6,475 and 536 images of Brahmi words of 170 classes for the training and testing, respectively, and the database is made freely available. The word samples from the mentioned database are classified based on the confidence scores provided by support vector machine (SVM) classifier while HOG and zonal density use to extract the features of Brahmi words. -
Language Ideologies in Morocco Sybil Bullock Connecticut College, [email protected]
CORE Metadata, citation and similar papers at core.ac.uk Provided by DigitalCommons@Connecticut College Connecticut College Digital Commons @ Connecticut College Anthropology Department Honors Papers Anthropology Department 2014 Language Ideologies in Morocco Sybil Bullock Connecticut College, [email protected] Follow this and additional works at: http://digitalcommons.conncoll.edu/anthrohp Recommended Citation Bullock, Sybil, "Language Ideologies in Morocco" (2014). Anthropology Department Honors Papers. Paper 11. http://digitalcommons.conncoll.edu/anthrohp/11 This Honors Paper is brought to you for free and open access by the Anthropology Department at Digital Commons @ Connecticut College. It has been accepted for inclusion in Anthropology Department Honors Papers by an authorized administrator of Digital Commons @ Connecticut College. For more information, please contact [email protected]. The views expressed in this paper are solely those of the author. Language Ideologies in Morocco Sybil Bullock 2014 Honors Thesis Anthropology Department Connecticut College Thesis Advisor: Petko Ivanov First Reader: Christopher Steiner Second Reader: Jeffrey Cole Table of Contents Dedication………………………………………………………………………………….….…3 Acknowledgments………………………………………………………………………….…….4 Abstract…………………………………………………………………………………….…….5 Chapter 1: Introduction…………………………………………………………………………..6 Chapter 2: The Role of Language in Nation-Building…………………………………………..10 Chapter 3: The Myth of Monolingualism………………………………………………….……18 Chapter 4: Language or Dialect?...................................................................................................26 -
Balinese Latin Text Becomes Aksara Bali Using Rule Base Method
I Putu Agus Eka Darma Udayana et. al., International Journal of Research in IT, Management and Engineering, ISSN 2249-1619, Impact Factor: 6.123, Volume 07 Issue 05, May 2017, Page 1-7 Balinese Latin Text Becomes Aksara Bali Using Rule Base Method I Putu Agus Eka Darma Udayana1, Made Sudarma2, and I Nyoman Satya Kumara3 1(Magister Program of Electrical and Computer Engineering, Udayana University Graduate Program, Sudirman Denpasar, Bali-Indonesia) 2,3(Department of Electrical and Computer Engineering, Faculty of Engineering, Udayana University Jimbaran Campus, Bali-Indonesia) Abstract: Lontar is one of the cultural heritage which has information about history of Balinese civilization in the past away. Problems encountered today are that the lontar are not well maintained. While, the lontar that used as letter of Balinese alphabet will be worn out soon, because it doesn’t have good endurance for long time. The exploiting of technology is one of media that can be used as a solution to solve the problems. The digitalization process of letter Balinese alphabet can be done by rewrite the script of that lontar in Balinese alphabet by using translation script with Rule Base and Levenshtein Distance Approach. The exploiting of technology will make the lontar becoming digital form and it won’t be worn out when the lontar is kept safe for long time and information that consisted in lontar can be protected for long time. Keywords: Translitation, rule base, levenshtein distance, aksara bali. I. INTRODUCTION Aksara Bali (Balinese Alphabet) is a symbol visual system that showed in a media, it has function to uncover the elements that expressing a language(Sudarma et al., 2016). -
Amendment No. 2 to Registry Agreement
Amendment No. 2 to Registry Agreement The Internet Corporation for Assigned Names and Numbers and Infibeam Incorporation Limited agree, effective as of _______________________________ (“Amendment No. 2 Effective Date”), that the modification set forth in this amendment No. 2 (the “Amendment”) is made to the 09 January 2014 .OOO Registry Agreement between the parties, as amended (the “Agreement”). The parties hereby agree to amend Exhibit A of the Agreement by deleting section 5.3 in its entirety: [OLD TEXT] “5.3 Registry Operator may offer registration of IDNs in the following languages/scripts (IDN Tables and IDN Registration Rules will be published by the Registry Operator as specified in the ICANN IDN Implementation Guidelines): 5.3.1. Arabic script 5.3.2. Armenian script 5.3.3. Avestan script 5.3.4. Azerbaijani language 5.3.5. Balinese script 5.3.6. Bamum script 5.3.7. Batak script 5.3.8. Belarusian language 5.3.9. Bengali script 5.3.10. Bopomofo script 5.3.11. Brahmi script 5.3.12. Buginese script 5.3.13. Buhid script 5.3.14. Bulgarian language 5.3.15. Canadian Aboriginal script 5.3.16. Carian script 5.3.17. Cham script 5.3.18. Cherokee script 5.3.19. Chinese language 5.3.20. Coptic script 5.3.21. Croatian language 5.3.22. Cuneiform script 5.3.23. Cyrillic script 5.3.24. Devanagari script 5.3.25. Egyptian Hieroglyphs script 5.3.26. Ethiopic script 5.3.27. French language 5.3.28. Georgian script 5.3.29. Glagolitic script 5.3.30.