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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]. -
IJCNLP 2011 Proceedings of the Workshop on Advances in Text Input Methods (WTIM 2011)
IJCNLP 2011 Proceedings of the Workshop on Advances in Text Input Methods (WTIM 2011) November 13, 2011 Shangri-La Hotel Chiang Mai, Thailand IJCNLP 2011 Proceedings of the Workshop on Advances in Text Input Methods (WTIM 2011) November 13, 2011 Chiang Mai, Thailand We wish to thank our sponsors Gold Sponsors www.google.com www.baidu.com The Office of Naval Research (ONR) Department of Systems Engineering and The Asian Office of Aerospace Research and Devel- Engineering Managment, The Chinese Uni- opment (AOARD) versity of Hong Kong Silver Sponsors Microsoft Corporation Bronze Sponsors Chinese and Oriental Languages Information Processing Society (COLIPS) Supporter Thailand Convention and Exhibition Bureau (TCEB) We wish to thank our sponsors Organizers Asian Federation of Natural Language National Electronics and Computer Technolo- Processing (AFNLP) gy Center (NECTEC), Thailand Sirindhorn International Institute of Technology Rajamangala University of Technology Lanna (SIIT), Thailand (RMUTL), Thailand Chiang Mai University (CMU), Thailand Maejo University, Thailand c 2011 Asian Federation of Natural Language Proceesing vii Preface Welcome to the IJCNLP Workshop on Advances in Text Input Methods (WTIM 2011)! Methods of text input have entered a new era. The number of people who have access to computers and mobile devices is skyrocketing in regions where people do not have a convenient method of inputting their native language. It has also become commonplace to input text not through a keyboard but through different modes such as voice and handwriting recognition. Even when people input text using a keyboard, it is done differently from only a few years ago – adaptive software keyboards, word auto- completion and prediction, and spell correction are just a few examples of such recent changes in text input experience. -
Computing in Indian Languages for Knowledge Management: Technology Perspectives and Linguistic Issues
Informatics Studies. ISSN 2320 – 530X. Vol. 3, Issue 4, Fourth Quarterly Issue. October – December, 2016. P 31-44 Computing in Indian Languages for Knowledge Management: Technology Perspectives and Linguistic Issues Ram Awathar Ojha Abstract The paper is the first among a series of documents on computer applications in Indian languages to be published in the journal. Traditionally, computer applications were based on English as the medium of interaction with the system. The technology is not yet viable to Indian languages. Majority of Indian population does not speak or write in or understand English and this weakness of technology hinders the attempts to use computers for education and literacy, meant for majority of the population who should get the benefit of Information Technology. In many parts of the world computer applications have been developed in different regional languages, appropriate to the user communities. This introductory paper gives a perspective of research and development on computational linguistics, the phonetic aspect of Indian languages, transliteration standards, lack of uniformity, data entry methods, keyboards, phonetic mapping of the vowels and consonants, web pages supporting display of Indian language text etc in the context of computing in Indian languages. Keywords: Computational Linguistics, Indian Languages, Telugu, Kannada, Phonetics, Alphabets, vowels, consonants, syllables, transliteration standards, data entry methods, keyboards, , web pages This paper covers Writing Systems Codes for Systems (MLS) in the context of this the Aksharas, The Phonetic Aspect of Indian discussion. Typically, an MLS will permit Languages, The importance of users to interact with computers in their own Transliteration, Lack of Uniformity Between mother tongue. -
List of Word Processors (Page 1 of 2) Bob Hawes Copied This List From
List of Word Processors (Page 1 of 2) Bob Hawes copied this list from http://en.wikipedia.org/wiki/List_of_word_processors. He added six additional programs, and relocated the Freeware section so that it directly follows the FOSS section. This way, most of the software on page 1 is free, and most of the software on page 2 is not. Bob then used page 1 as the basis for his April 15, 2011 presentation Free Word Processors. (Note that most of these links go to Wikipedia web pages, but those marked with [WEB] go to non-Wikipedia websites). Free/open source software (FOSS): • AbiWord • Bean • Caligra Words • Document.Editor [WEB] • EZ Word • Feng Office Community Edition • GNU TeXmacs • Groff • JWPce (A Japanese word processor designed for English speakers reading or writing Japanese). • Kword • LibreOffice Writer (A fork of OpenOffice.org) • LyX • NeoOffice [WEB] • Notepad++ (NOT from Microsoft) [WEB] • OpenOffice.org Writer • Ted • TextEdit (Bundled with Mac OS X) • vi and Vim (text editor) Proprietary Software (Freeware): • Atlantis Nova • Baraha (Free Indian Language Software) • IBM Lotus Symphony • Jarte • Kingsoft Office Personal Edition • Madhyam • Qjot • TED Notepad • Softmaker/Textmaker [WEB] • PolyEdit Lite [WEB] • Rough Draft [WEB] Proprietary Software (Commercial): • Apple iWork (Mac) • Apple Pages (Mac) • Applix Word (Linux) • Atlantis Word Processor (Windows) • Altsoft Xml2PDF (Windows) List of Word Processors (Page 2 of 2) • Final Draft (Screenplay/Teleplay word processor) • FrameMaker • Gobe Productive Word Processor • Han/Gul -
Samojedologische Schriften
PÉTER HAJDÚ SAMOJEDOLOGISCHE SCHRIFTEN SZEGED 1975 Eclitionis curám agit Г. JAN U R IK VORWORT In diesem Heft der Studia Uralo-Altaica werden drei Unter- suchungen des Verfassers veröffentlicht, die bisher nur in ungarischer Fassung zugfinglich waren. Die Arbeit über Lokativ und Ablativ im Sölkupischen wurde in Néprajz éa Nyelvtudomány 7 /Szeged 1963/, die beiden anderen Artikel hingegen in Nyelvtudományi Közlemények 71 bzw 72 /Dudapest 1969,1970/ mitgeteilt. Im Anhang folgt als Reprint aus A Magyar Tudományos Akadémia Nyelv- éa Irodalomtudományi Osztályának Közleményei Bd 27 /1971/ der Text meiner Antrittsvorlesung an der Ungari- schen Akademie der Wissenschaften über Prödikativitöts- flexion in den samojedischen Sprachen. DER LOKATIV UND ABLATIV TM SÖLK UP ISCHEN SOWIE DIE SAMOJE- DISCHEN ENTSPRECHUNGEN DES UNGARISCHEN REFLEXIVPRONOMENS 1, Die sölkupische Deklination zeigt, sich in ihrer vollen Kompliziertheit erst nach gleichzeitiger Untersuchung mehrerer Quellen. An erster. Stelle ist hier die Grammatik von Castr^n zu erwähnen. Da aber A. Schiefner, der diese Grammatik zum Druck vorbereitete, mehrere Veränderungen an den aölkupischen Originalaufzeichnungen von Caströn vor- nahm, muss unbedingt auch das handschriftliche Erbe von Caströn berücksichtigt werden, das neuerdings von Lehtisalo im Druck zugänglich gemacht worden ist /MSFOu 122/. Schade, daBS das Material von Kai Donner noch immer nicht vorliegt, jedoch können wir die grammatischen Beschreibungen von G.N. Prokofjew mit umso grösserem Gewinn lesen /Materialien zur Erforschung der ostjak-samojedischen Sprache. Die Täsovsche Mundart :UngJb 11; Sel'kupskij /ostjako-samoedskij/ jazyk : JPNS I.jSel'kupskaja /ostjako-samoedskaja/ grammatika, Le- ningrad 1955/. Neben diesen Hauptquellen stehen uns als Ergänzungsmaterial noch die Aufzeichnungen von Lehtisalo /MSFOu 122/ und schliesslich meine eigenen, flüchtig gesam- melten sölkupischen Angaben zur Verfügung. -
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. -
International Language Environments Guide
International Language Environments Guide Sun Microsystems, Inc. 4150 Network Circle Santa Clara, CA 95054 U.S.A. Part No: 806–6642–10 May, 2002 Copyright 2002 Sun Microsystems, Inc. 4150 Network Circle, Santa Clara, CA 95054 U.S.A. All rights reserved. This product or document is protected by copyright and distributed under licenses restricting its use, copying, distribution, and decompilation. No part of this product or document may be reproduced in any form by any means without prior written authorization of Sun and its licensors, if any. Third-party software, including font technology, is copyrighted and licensed from Sun suppliers. Parts of the product may be derived from Berkeley BSD systems, licensed from the University of California. UNIX is a registered trademark in the U.S. and other countries, exclusively licensed through X/Open Company, Ltd. Sun, Sun Microsystems, the Sun logo, docs.sun.com, AnswerBook, AnswerBook2, Java, XView, ToolTalk, Solstice AdminTools, SunVideo and Solaris are trademarks, registered trademarks, or service marks of Sun Microsystems, Inc. in the U.S. and other countries. All SPARC trademarks are used under license and are trademarks or registered trademarks of SPARC International, Inc. in the U.S. and other countries. Products bearing SPARC trademarks are based upon an architecture developed by Sun Microsystems, Inc. SunOS, Solaris, X11, SPARC, UNIX, PostScript, OpenWindows, AnswerBook, SunExpress, SPARCprinter, JumpStart, Xlib The OPEN LOOK and Sun™ Graphical User Interface was developed by Sun Microsystems, Inc. for its users and licensees. Sun acknowledges the pioneering efforts of Xerox in researching and developing the concept of visual or graphical user interfaces for the computer industry. -
Development Production Line the Short Story
Development Production Line The Short Story Jene Jasper Copyright © 2007-2018 freedumbytes.dev.net (Free Dumb Bytes) Published 3 July 2018 4.0-beta Edition While every precaution has been taken in the preparation of this installation manual, the publisher and author assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To get an idea of the Development Production Line take a look at the following Application Integration overview and Maven vs SonarQube Quality Assurance reports comparison. 1. Operating System ......................................................................................................... 1 1.1. Windows ........................................................................................................... 1 1.1.1. Resources ................................................................................................ 1 1.1.2. Desktop .................................................................................................. 1 1.1.3. Explorer .................................................................................................. 1 1.1.4. Windows 7 Start Menu ................................................................................ 2 1.1.5. Task Manager replacement ........................................................................... 3 1.1.6. Resource Monitor ..................................................................................... -
PTOCA Reference (Presentation Text Object Content Architecture
Advanced Function Presentation Consortium Data Stream and Object Architectures Presentation Text Object Content Architecture Reference AFPC-0009-03 Note: Before using this information, read the information in “Notices” on page 171. AFPC-0009-03 Fourth Edition (March 2016) This edition applies to the Presentation Text Object Content Architecture (PTOCA). It is the first edition produced by the AFP Consortium™(AFPC™) and replaces and makes obsolete the previous edition, SC31-6803-02, published by the IBM® Corporation. This edition remains current until a new edition is published. Specific changes are indicated by a vertical bar to the left of the change. For a detailed list of the changes, see “Summary of Changes” on page ix. Internet Visit our home page: www.afpcinc.org Copyright © AFP Consortium 1997, 2016 ii Preface This book describes the functions and services associated with the Presentation Text Object Content Architecture (PTOCA) architecture. This book is a reference, not a tutorial. It complements individual product publications, but does not describe product implementations of the architecture. Who Should Read This Book This book is for systems programmers and other developers who need such information to develop or adapt a product or program to interoperate with other presentation products. Copyright © AFP Consortium 1997, 2016 iii AFP Consortium AFP Consortium (AFPC) The Advanced Function Presentation™(AFP™) architectures began as the strategic, general purpose document and information presentation architecture for the IBM Corporation. The first specifications and products go back to 1984. Although all of the components of the architecture have grown over the years, the major concepts of object-driven structures, print integrity, resource management, and support for high print speeds were built in from the start. -
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. -
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). -
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
ICANN Registry Request Service Ticket ID: S1K9W-8K6J2 Registry Name: 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 Proposed Service Name of Proposed Service: Technical description of Proposed Service: ARTE registry operator, Association Relative à la Télévision Européenne G.E.I.E. is applying to add IDN domain registration services. ARTE IDN domain name registration services will be fully compliant with IDNA 2008, as well as ICANN's Guidelines for implementation of IDNs. The language tables are submitted separately via the GDD portal together with IDN policies. ARTE is a brand TLD, as defined by the Specification 13, and as such only the registry and its affiliates are eligible to register .ARTE domain names. The full list of languages/scripts is: Azerbaijani language Belarusian language Bulgarian language Chinese language Croatian language French language Greek, Modern language Japanese language Korean language Kurdish language Macedonian language Moldavian language Polish language Russian language Serbian language Spanish language Swedish language Ukrainian language Arabic script Armenian script Avestan script Balinese script Bamum script Batak script Page 1 ICANN Registry Request Service Ticket ID: S1K9W-8K6J2 Registry Name: 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 Bengali script Bopomofo script Brahmi script Buginese