Gurmukhi Script to Braille Code
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UNIT 2 Braille
Mathematics Enhancement Programme Codes and UNIT 2 Braille Lesson Plan 1 Braille Ciphers Activity Notes T: Teacher P: Pupil Ex.B: Exercise Book 1 Introduction T: What code, designed more than 150 years ago, is still used Whole class interactive extensively today? discussion. T: The system of raised dots which enables blind people to read was Ps might also suggest Morse code designed in 1833 by a Frenchman, Louis Braille. or semaphore. Does anyone know how it works? Ps might have some ideas but are T: Braille uses a system of dots, either raised or not, arranged in unlikely to know that Braille uses 3 rows and 2 columns. a 32× configuration. on whiteboard Here are some possible codes: ape (WB). T puts these three Braille letters on WB. T: What do you notice? (They use different numbers of dots) T: We will find out how many possible patterns there are. 10 mins 2 Number of patterns T: How can we find out how many patterns there are? Response will vary according to (Find as many as possible) age and ability. T: OK – but let us be systematic in our search. What could we first find? (All patterns with one dot) T: Good; who would like to display these on the board? P(s) put possible solutions on the board; T stresses the logical search for these. Agreement. Praising. (or use OS 2.1) T: Working in your exercise books (with squared paper), now find all possible patterns with just 2 dots. T: How many have you found? Allow about 5 minutes for this before reviewing. -
The Festvox Indic Frontend for Grapheme-To-Phoneme Conversion
The Festvox Indic Frontend for Grapheme-to-Phoneme Conversion Alok Parlikar, Sunayana Sitaram, Andrew Wilkinson and Alan W Black Carnegie Mellon University Pittsburgh, USA aup, ssitaram, aewilkin, [email protected] Abstract Text-to-Speech (TTS) systems convert text into phonetic pronunciations which are then processed by Acoustic Models. TTS frontends typically include text processing, lexical lookup and Grapheme-to-Phoneme (g2p) conversion stages. This paper describes the design and implementation of the Indic frontend, which provides explicit support for many major Indian languages, along with a unified framework with easy extensibility for other Indian languages. The Indic frontend handles many phenomena common to Indian languages such as schwa deletion, contextual nasalization, and voicing. It also handles multi-script synthesis between various Indian-language scripts and English. We describe experiments comparing the quality of TTS systems built using the Indic frontend to grapheme-based systems. While this frontend was designed keeping TTS in mind, it can also be used as a general g2p system for Automatic Speech Recognition. Keywords: speech synthesis, Indian language resources, pronunciation 1. Introduction in models of the spectrum and the prosody. Another prob- lem with this approach is that since each grapheme maps Intelligible and natural-sounding Text-to-Speech to a single “phoneme” in all contexts, this technique does (TTS) systems exist for a number of languages of the world not work well in the case of languages that have pronun- today. However, for low-resource, high-population lan- ciation ambiguities. We refer to this technique as “Raw guages, such as languages of the Indian subcontinent, there Graphemes.” are very few high-quality TTS systems available. -
Tai Lü / ᦺᦑᦟᦹᧉ Tai Lùe Romanization: KNAB 2012
Institute of the Estonian Language KNAB: Place Names Database 2012-10-11 Tai Lü / ᦺᦑᦟᦹᧉ Tai Lùe romanization: KNAB 2012 I. Consonant characters 1 ᦀ ’a 13 ᦌ sa 25 ᦘ pha 37 ᦤ da A 2 ᦁ a 14 ᦍ ya 26 ᦙ ma 38 ᦥ ba A 3 ᦂ k’a 15 ᦎ t’a 27 ᦚ f’a 39 ᦦ kw’a 4 ᦃ kh’a 16 ᦏ th’a 28 ᦛ v’a 40 ᦧ khw’a 5 ᦄ ng’a 17 ᦐ n’a 29 ᦜ l’a 41 ᦨ kwa 6 ᦅ ka 18 ᦑ ta 30 ᦝ fa 42 ᦩ khwa A 7 ᦆ kha 19 ᦒ tha 31 ᦞ va 43 ᦪ sw’a A A 8 ᦇ nga 20 ᦓ na 32 ᦟ la 44 ᦫ swa 9 ᦈ ts’a 21 ᦔ p’a 33 ᦠ h’a 45 ᧞ lae A 10 ᦉ s’a 22 ᦕ ph’a 34 ᦡ d’a 46 ᧟ laew A 11 ᦊ y’a 23 ᦖ m’a 35 ᦢ b’a 12 ᦋ tsa 24 ᦗ pa 36 ᦣ ha A Syllable-final forms of these characters: ᧅ -k, ᧂ -ng, ᧃ -n, ᧄ -m, ᧁ -u, ᧆ -d, ᧇ -b. See also Note D to Table II. II. Vowel characters (ᦀ stands for any consonant character) C 1 ᦀ a 6 ᦀᦴ u 11 ᦀᦹ ue 16 ᦀᦽ oi A 2 ᦰ ( ) 7 ᦵᦀ e 12 ᦵᦀᦲ oe 17 ᦀᦾ awy 3 ᦀᦱ aa 8 ᦶᦀ ae 13 ᦺᦀ ai 18 ᦀᦿ uei 4 ᦀᦲ i 9 ᦷᦀ o 14 ᦀᦻ aai 19 ᦀᧀ oei B D 5 ᦀᦳ ŭ,u 10 ᦀᦸ aw 15 ᦀᦼ ui A Indicates vowel shortness in the following cases: ᦀᦲᦰ ĭ [i], ᦵᦀᦰ ĕ [e], ᦶᦀᦰ ăe [ ∎ ], ᦷᦀᦰ ŏ [o], ᦀᦸᦰ ăw [ ], ᦀᦹᦰ ŭe [ ɯ ], ᦵᦀᦲᦰ ŏe [ ]. -
A New Research Resource for Optical Recognition of Embossed and Hand-Punched Hindi Devanagari Braille Characters: Bharati Braille Bank
I.J. Image, Graphics and Signal Processing, 2015, 6, 19-28 Published Online May 2015 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijigsp.2015.06.03 A New Research Resource for Optical Recognition of Embossed and Hand-Punched Hindi Devanagari Braille Characters: Bharati Braille Bank Shreekanth.T Research Scholar, JSS Research Foundation, Mysore, India. Email: [email protected] V.Udayashankara Professor, Department of IT, SJCE, Mysore, India. Email: [email protected] Abstract—To develop a Braille recognition system, it is required to have the stored images of Braille sheets. This I. INTRODUCTION paper describes a method and also the challenges of Braille is a language for the blind to read and write building the corpora for Hindi Devanagari Braille. A few through the sense of touch. Braille is formatted to a Braille databases and commercial software's are standard size by Frenchman Louis Braille in 1825.Braille obtainable for English and Arabic Braille languages, but is a system of raised dots arranged in cells. Any none for Indian Braille which is popularly known as Bharathi Braille. However, the size and scope of the combination of one to six dots may be raised within each English and Arabic Braille language databases are cell and the number and position of the raised dots within a cell convey to the reader the letter, word, number, or limited. Researchers frequently develop and self-evaluate symbol the cell exemplifies. There are 64 possible their algorithm based on the same private data set and combinations of raised dots within a single cell. -
The Fontspec Package Font Selection for XƎLATEX and Lualatex
The fontspec package Font selection for XƎLATEX and LuaLATEX Will Robertson and Khaled Hosny [email protected] 2013/05/12 v2.3b Contents 7.5 Different features for dif- ferent font sizes . 14 1 History 3 8 Font independent options 15 2 Introduction 3 8.1 Colour . 15 2.1 About this manual . 3 8.2 Scale . 16 2.2 Acknowledgements . 3 8.3 Interword space . 17 8.4 Post-punctuation space . 17 3 Package loading and options 4 8.5 The hyphenation character 18 3.1 Maths fonts adjustments . 4 8.6 Optical font sizes . 18 3.2 Configuration . 5 3.3 Warnings .......... 5 II OpenType 19 I General font selection 5 9 Introduction 19 9.1 How to select font features 19 4 Font selection 5 4.1 By font name . 5 10 Complete listing of OpenType 4.2 By file name . 6 font features 20 10.1 Ligatures . 20 5 Default font families 7 10.2 Letters . 20 6 New commands to select font 10.3 Numbers . 21 families 7 10.4 Contextuals . 22 6.1 More control over font 10.5 Vertical Position . 22 shape selection . 8 10.6 Fractions . 24 6.2 Math(s) fonts . 10 10.7 Stylistic Set variations . 25 6.3 Miscellaneous font select- 10.8 Character Variants . 25 ing details . 11 10.9 Alternates . 25 10.10 Style . 27 7 Selecting font features 11 10.11 Diacritics . 29 7.1 Default settings . 11 10.12 Kerning . 29 7.2 Changing the currently se- 10.13 Font transformations . 30 lected features . -
Transliteration of Indian Ancient Script to Braille Script Using Pattern Recognition Technique: a Review
International Journal of Computer Applications (0975 – 8887) Volume 166 – No.6, May 2017 Transliteration of Indian Ancient Script to Braille Script using Pattern Recognition Technique: A Review Kirti Nilesh Mahajan, PhD Niket Pundlikrao Tajne Professor (B.Sc., MCM, MCA, Ph.D., APHRM) Research Scholar, Bharti Vidyapeeth Deemed University Bharti Vidyapeeth Deemed University Institute of Management & Entrepreneurship Institute of Management & Entrepreneurship Development, Pune Development, Pune ABSTRACT Strenuous research has been done on pattern recognition and a 800000 huge number of research works have been published on this 700000 topic during the last few decades. The Indian ancient scripts 600000 are a golden treasure of not only Asian continent, but also the 500000 Total whole world. Many researchers and an organizations still working on the appropriate character recognition of Indian 400000 ancient scripts. This paper presents some research work that 300000 Male has been significant in the area of pattern recognition and also 200000 highlights the review of existing work done on the Indian 100000 Female ancient scripts. The purpose of this research work is to study 0 … the appropriate identification of the Indian ancient script using 4 9 - - 29 19 39 49 59 69 79 89 - - - - - - - - 5 pattern recognition techniques. We have studied the different 0 90+ 20 30 40 50 60 70 80 pattern recognition techniques and its categorized steps. In 10 current research work we have used MODI script. Modi is Not Age Indian ancient script which is normally preferred in western and southern part of India. This paper shows the importance of MODI script and by using technique of pattern recognition Fig. -
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Phonotactic frequencies in Marathi KELLY HARPER BERKSON1 and MAX NELSON Indiana University Bloomington, Indiana ABSTRACT: Breathy sonorants are cross-linguistically rare, occurring in just 1% of the languages indexed in the UCLA Phonological Segment Inventory Database (UPSID) and 0.2% of those in the PHOIBLE database (Moran, McCloy and Wright 2014). Prior work has shed some light on their acoustic properties, but little work has investigated the language-internal distribution of these sounds in a language where they do occur, such as Marathi (Indic, spoken mainly in Maharashtra, India). With this in mind, we present an overview of the phonotactic frequencies of consonants, vowels, and CV-bigrams in the Marathi portion of the EMILLE/CIIL corpus. Results of a descriptive analysis show that breathy sonorants are underrepresented, making up fewer than 1% of the consonants in the 2.2 million-word corpus, and that they are disfavored in back vowel contexts. 1 Introduction Languages are rife with gradience. While some sounds, morphological patterns, and syntactic structures occur with great frequency in a language, others—though legal—occur rarely. The same is observed crosslinguistically: some elements and structures are found in language after language, while others are quite rare. For at least the last several decades, cognitive and psycholinguistic investigation of language processing has revealed that language users are sensitive not only to categorical phonological knowledge—such as, for example, the sounds and sound combinations that are legal and illegal in one’s language— but also to this kind of gradient information about phonotactic probabilities. This has been demonstrated in a variety of experimental tasks (Ellis 2002; Frisch, Large, and Pisoni 2000; Storkel and Maekawa 2005; Vitevitch and Luce 2005), which indicate that gradience influences language production, comprehension, and processing phenomena (Ellis 2002; Vitevitch, Armbrüster, and Chu 2004) for infants as well as adults (Jusczyk and Luce 1994). -
Implementation of Gurmukhi to Braille 1Vandana, 2Rupinderdeep Kaur, 3Nidhi Bhalla 1Swami Vivekanand Engineering College, Punjab, India 2 Dept
IJCST VOL . 3, Iss UE 2, APR I L - JUNE 2012 ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) Implementation of Gurmukhi to Braille 1Vandana, 2Rupinderdeep Kaur, 3Nidhi Bhalla 1Swami Vivekanand Engineering College, Punjab, India 2 Dept. of CSE, Thapar University, Patiala, Punjab, India 3Dept. of CSE, Swami Vivekanand Engineering College, Punjab, India Abstract II. Braille Sheet Braille is the language used by the blind people for studying. This Standard Braille is an approach to creating documents which could also helps them to stand with the other people in this technological be read through touch. This is accomplished through the concept of world. Basically, there are different grades of the Braille like a Braille cell consisting of raised dots on thick sheet of paper. On grade 1 grade 2 and grade 3. As per the concern of this paper, it a Braille sheet, the dots are created by embossing using a special only describes grade 1. Grade 1 is called the starting version of printer or even a manual machine that simultaneously embosses Braille in which we do letter by letter translation of words. In the dots as in fig. 3. Today, we also have Braille printers which may this paper, I am going to describe the implementation of a system be connected to computers on standard printed interfaces. These which mainly works on grade 1 for the conversion of Gurmukhi to are generally known as Braille Embossers. A visually Handicapped Braille. This paper also describes the methodology of the system. person is taught Braille by training him or her in discerning the The methodology tells flow of system. -
Neural Machine Translation System of Indic Languages - an Attention Based Approach
Neural Machine Translation System of Indic Languages - An Attention based Approach Parth Shah Vishvajit Bakrola Uka Tarsadia University Uka Tarsadia University Bardoli, India Bardoli, India [email protected] [email protected] Abstract—Neural machine translation (NMT) is a recent intervention. This task can be effectively done using machine and effective technique which led to remarkable improvements translation. in comparison of conventional machine translation techniques. Machine Translation (MT) is described as a task of compu- Proposed neural machine translation model developed for the Gujarati language contains encoder-decoder with attention mech- tationally translate human spoken or natural language text or anism. In India, almost all the languages are originated from their speech from one language to another with minimum human ancestral language - Sanskrit. They are having inevitable similari- intervention. Machine translation aims to generate translations ties including lexical and named entity similarity. Translating into which have the same meaning as a source sentence and Indic languages is always be a challenging task. In this paper, we grammatically correct in the target language. Initial work on have presented the neural machine translation system (NMT) that can efficiently translate Indic languages like Hindi and Gujarati MT started in early 1950s [2], and has advanced rapidly that together covers more than 58.49 percentage of total speakers since the 1990s due to the availability of more computational in the country. We have compared the performance of our capacity and training data. Then after, number of approaches NMT model with automatic evaluation matrices such as BLEU, have been proposed to achieve more and more accurate ma- perplexity and TER matrix. -
An Introduction to Indic Scripts
An Introduction to Indic Scripts Richard Ishida W3C [email protected] HTML version: http://www.w3.org/2002/Talks/09-ri-indic/indic-paper.html PDF version: http://www.w3.org/2002/Talks/09-ri-indic/indic-paper.pdf Introduction This paper provides an introduction to the major Indic scripts used on the Indian mainland. Those addressed in this paper include specifically Bengali, Devanagari, Gujarati, Gurmukhi, Kannada, Malayalam, Oriya, Tamil, and Telugu. I have used XHTML encoded in UTF-8 for the base version of this paper. Most of the XHTML file can be viewed if you are running Windows XP with all associated Indic font and rendering support, and the Arial Unicode MS font. For examples that require complex rendering in scripts not yet supported by this configuration, such as Bengali, Oriya, and Malayalam, I have used non- Unicode fonts supplied with Gamma's Unitype. To view all fonts as intended without the above you can view the PDF file whose URL is given above. Although the Indic scripts are often described as similar, there is a large amount of variation at the detailed implementation level. To provide a detailed account of how each Indic script implements particular features on a letter by letter basis would require too much time and space for the task at hand. Nevertheless, despite the detail variations, the basic mechanisms are to a large extent the same, and at the general level there is a great deal of similarity between these scripts. It is certainly possible to structure a discussion of the relevant features along the same lines for each of the scripts in the set. -
A STUDY of WRITING Oi.Uchicago.Edu Oi.Uchicago.Edu /MAAM^MA
oi.uchicago.edu A STUDY OF WRITING oi.uchicago.edu oi.uchicago.edu /MAAM^MA. A STUDY OF "*?• ,fii WRITING REVISED EDITION I. J. GELB Phoenix Books THE UNIVERSITY OF CHICAGO PRESS oi.uchicago.edu This book is also available in a clothbound edition from THE UNIVERSITY OF CHICAGO PRESS TO THE MOKSTADS THE UNIVERSITY OF CHICAGO PRESS, CHICAGO & LONDON The University of Toronto Press, Toronto 5, Canada Copyright 1952 in the International Copyright Union. All rights reserved. Published 1952. Second Edition 1963. First Phoenix Impression 1963. Printed in the United States of America oi.uchicago.edu PREFACE HE book contains twelve chapters, but it can be broken up structurally into five parts. First, the place of writing among the various systems of human inter communication is discussed. This is followed by four Tchapters devoted to the descriptive and comparative treatment of the various types of writing in the world. The sixth chapter deals with the evolution of writing from the earliest stages of picture writing to a full alphabet. The next four chapters deal with general problems, such as the future of writing and the relationship of writing to speech, art, and religion. Of the two final chapters, one contains the first attempt to establish a full terminology of writing, the other an extensive bibliography. The aim of this study is to lay a foundation for a new science of writing which might be called grammatology. While the general histories of writing treat individual writings mainly from a descriptive-historical point of view, the new science attempts to establish general principles governing the use and evolution of writing on a comparative-typological basis. -
SAN 506: First-Year Sanskrit I
Dr. Claire Maes SAN 506: First-Year Sanskrit I “Vālmīki converses with the sage Nārada” Seventeenth century Mewar manuscript of the Rāmāyaṇa (British Library) Svāgatam! स्वागतम् | Welcome! Course Objectives and Outcomes This course is the first semester of a complete introduction to the Sanskrit language. You will learn many essentials of Sanskrit grammar including present and past tense verbs, nominal declensions, participles, infinitives, gerunds, and compounds. You will also learn Devanāgarī (a script in which Sanskrit, as well as other South Asian languages, is commonly written). You will learn to recite Sanskrit verses, compose simple sentences, and you will discover the many different types of literary production that are written in Sanskrit (for example, law codes, ritual manuals, medical treatises, and love poems), as well as learn about the cultural contexts that produced them. You will also begin to translate original Sanskrit literature. Some say Sanskrit is a “dead” language, but through this course you will find that this ancient language is very much alive in music, literature, drama, politics, yoga studios, popular culture and in everyday life in South Asia and beyond. Textbooks (required): A.M. Ruppel. The Cambridge Introduction to Sanskrit. Cambridge: Cambridge University Press, 2017. Supplies: 1 package of 4x6 blank notecards P a g e 1 | 6 Grading 10% Attendance and Participation 20% Homework 5% Small vocabulary quizzes (16, five lowest scores will be dropped) 25% Quizzes (5, lowest score dropped) 2.5% Paradigm and Verse Recitations 2.5% Final Verse Recitation and Presentation 15% Midterm 20% Final Grading Scale 93–100: A. 90–92: A-.