Automatic Transliterator from One Indic Script to Another
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UNICODE for Kannada General Information & Description
UNICODE for Kannada (U+0C80 to U+0CFF) General Information & Description Written by: C V Srinatha Sastry Issued by: Director Directorate of Information Technology Government of Karnataka Multi Storied Buildings, Vidhana Veedhi BANGALORE 560 001 INDIA PDF created with FinePrint pdfFactory Pro trial version http://www.pdffactory.com UNICODE for Kannada Introduction The Kannada script is a South Indian script. It is used to write Kannada language of Karnataka State in India. This is also used in many parts of Tamil Nadu, Kerala, Andhra Pradesh and Maharashtra States of India. In addition, the Kannada script is also used to write Tulu, Konkani and Kodava languages. Kannada along with other Indian language scripts shares a large number of structural features. The Kannada block of Unicode Standard (0C80 to 0CFF) is based on ISCII-1988 (Indian Standard Code for Information Interchange). The Unicode Standard (version 3) encodes Kannada characters in the same relative positions as those coded in the ISCII-1988 standard. The Writing system that employs Kannada script constitutes a cross between syllabic writing systems and phonemic writing systems (alphabets). The effective unit of writing Kannada is the orthographic syllable consisting of a consonant (Vyanjana) and vowel (Vowel) (CV) core and optionally, one or more preceding consonants, with a canonical structure of ((C)C)CV. The orthographic syllable need not correspond exactly with a phonological syllable, especially when a consonant cluster is involved, but the writing system is built on phonological principles and tends to correspond quite closely to pronunciation. The orthographic syllable is built up of alphabetic pieces, the actual letters of Kannada script. -
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. -
Assessment of Options for Handling Full Unicode Character Encodings in MARC21 a Study for the Library of Congress
1 Assessment of Options for Handling Full Unicode Character Encodings in MARC21 A Study for the Library of Congress Part 1: New Scripts Jack Cain Senior Consultant Trylus Computing, Toronto 1 Purpose This assessment intends to study the issues and make recommendations on the possible expansion of the character set repertoire for bibliographic records in MARC21 format. 1.1 “Encoding Scheme” vs. “Repertoire” An encoding scheme contains codes by which characters are represented in computer memory. These codes are organized according to a certain methodology called an encoding scheme. The list of all characters so encoded is referred to as the “repertoire” of characters in the given encoding schemes. For example, ASCII is one encoding scheme, perhaps the one best known to the average non-technical person in North America. “A”, “B”, & “C” are three characters in the repertoire of this encoding scheme. These three characters are assigned encodings 41, 42 & 43 in ASCII (expressed here in hexadecimal). 1.2 MARC8 "MARC8" is the term commonly used to refer both to the encoding scheme and its repertoire as used in MARC records up to 1998. The ‘8’ refers to the fact that, unlike Unicode which is a multi-byte per character code set, the MARC8 encoding scheme is principally made up of multiple one byte tables in which each character is encoded using a single 8 bit byte. (It also includes the EACC set which actually uses fixed length 3 bytes per character.) (For details on MARC8 and its specifications see: http://www.loc.gov/marc/.) MARC8 was introduced around 1968 and was initially limited to essentially Latin script only. -
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 [ ]. -
Sanskrit Alphabet
Sounds Sanskrit Alphabet with sounds with other letters: eg's: Vowels: a* aa kaa short and long ◌ к I ii ◌ ◌ к kii u uu ◌ ◌ к kuu r also shows as a small backwards hook ri* rri* on top when it preceeds a letter (rpa) and a ◌ ◌ down/left bar when comes after (kra) lri lree ◌ ◌ к klri e ai ◌ ◌ к ke o au* ◌ ◌ к kau am: ah ◌ं ◌ः कः kah Consonants: к ka х kha ga gha na Ê ca cha ja jha* na ta tha Ú da dha na* ta tha Ú da dha na pa pha º ba bha ma Semivowels: ya ra la* va Sibilants: sa ш sa sa ha ksa** (**Compound Consonant. See next page) *Modern/ Hindi Versions a Other ऋ r ॠ rr La, Laa (retro) औ au aum (stylized) ◌ silences the vowel, eg: к kam झ jha Numero: ण na (retro) १ ५ ॰ la 1 2 3 4 5 6 7 8 9 0 @ Davidya.ca Page 1 Sounds Numero: 0 1 2 3 4 5 6 7 8 910 १॰ ॰ १ २ ३ ४ ६ ७ varient: ५ ८ (shoonya eka- dva- tri- catúr- pancha- sás- saptán- astá- návan- dásan- = empty) works like our Arabic numbers @ Davidya.ca Compound Consanants: When 2 or more consonants are together, they blend into a compound letter. The 12 most common: jna/ tra ttagya dya ddhya ksa kta kra hma hna hva examples: for a whole chart, see: http://www.omniglot.com/writing/devanagari_conjuncts.php that page includes a download link but note the site uses the modern form Page 2 Alphabet Devanagari Alphabet : к х Ê Ú Ú º ш @ Davidya.ca Page 3 Pronounce Vowels T pronounce Consonants pronounce Semivowels pronounce 1 a g Another 17 к ka v Kit 42 ya p Yoga 2 aa g fAther 18 х kha v blocKHead -
Part 1: Introduction to The
PREVIEW OF THE IPA HANDBOOK Handbook of the International Phonetic Association: A guide to the use of the International Phonetic Alphabet PARTI Introduction to the IPA 1. What is the International Phonetic Alphabet? The aim of the International Phonetic Association is to promote the scientific study of phonetics and the various practical applications of that science. For both these it is necessary to have a consistent way of representing the sounds of language in written form. From its foundation in 1886 the Association has been concerned to develop a system of notation which would be convenient to use, but comprehensive enough to cope with the wide variety of sounds found in the languages of the world; and to encourage the use of thjs notation as widely as possible among those concerned with language. The system is generally known as the International Phonetic Alphabet. Both the Association and its Alphabet are widely referred to by the abbreviation IPA, but here 'IPA' will be used only for the Alphabet. The IPA is based on the Roman alphabet, which has the advantage of being widely familiar, but also includes letters and additional symbols from a variety of other sources. These additions are necessary because the variety of sounds in languages is much greater than the number of letters in the Roman alphabet. The use of sequences of phonetic symbols to represent speech is known as transcription. The IPA can be used for many different purposes. For instance, it can be used as a way to show pronunciation in a dictionary, to record a language in linguistic fieldwork, to form the basis of a writing system for a language, or to annotate acoustic and other displays in the analysis of speech. -
Intelligence System for Tamil Vattezhuttuoptical
Mr R.Vinoth et al. / International Journal of Computer Science & Engineering Technology (IJCSET) INTELLIGENCE SYSTEM FOR TAMIL VATTEZHUTTUOPTICAL CHARACTER RCOGNITION Mr R.Vinoth Assistant Professor, Department of Information Technology Agni college of Technology, Chennai, India [email protected] Rajesh R. UG Student, Department of Information Technology Agni college of Technology, Chennai, India [email protected] Yoganandhan P. UG Student, Department of Information Technology Agni college of Technology, Chennai, India [email protected] Abstract--A system that involves character recognition and information retrieval of Palm Leaf Manuscript. The conversion of ancient Tamil to the present Tamil digital text format. Various algorithms were used to find the OCR for different languages, Ancient letter conversion still possess a big challenge. Because Image recognition technology has reached near-perfection when it comes to scanning Tamil text. The proposed system overcomes such a situation by converting all the palm manuscripts into Tamil digital text format. Though the Tamil scripts are difficult to understand. We are using this approach to solve the existing problems and convert it to Tamil digital text. Keyword - Vatteluttu Tamil (VT); Data set; Character recognition; Neural Network. I. INTRODUCTION Tamil language is one of the longest surviving classical languages in the world. Tamilnadu is a place, where the Palm Leaf Manuscript has been preserved. There are some difficulties to preserve the Palm Leaf Manuscript. So, we need to preserve the Palm Leaf Manuscript by converting to the form of digital text format. Computers and Smart devices are used by mostof them now a day. So, this system helps to convert and preserve in a fine manner. -
Proposal for a Kannada Script Root Zone Label Generation Ruleset (LGR)
Proposal for a Kannada Script Root Zone Label Generation Ruleset (LGR) Proposal for a Kannada Script Root Zone Label Generation Ruleset (LGR) LGR Version: 3.0 Date: 2019-03-06 Document version: 2.6 Authors: Neo-Brahmi Generation Panel [NBGP] 1. General Information/ Overview/ Abstract The purpose of this document is to give an overview of the proposed Kannada LGR in the XML format and the rationale behind the design decisions taken. It includes a discussion of relevant features of the script, the communities or languages using it, the process and methodology used and information on the contributors. The formal specification of the LGR can be found in the accompanying XML document: proposal-kannada-lgr-06mar19-en.xml Labels for testing can be found in the accompanying text document: kannada-test-labels-06mar19-en.txt 2. Script for which the LGR is Proposed ISO 15924 Code: Knda ISO 15924 N°: 345 ISO 15924 English Name: Kannada Latin transliteration of the native script name: Native name of the script: ಕನ#ಡ Maximal Starting Repertoire (MSR) version: MSR-4 Some languages using the script and their ISO 639-3 codes: Kannada (kan), Tulu (tcy), Beary, Konkani (kok), Havyaka, Kodava (kfa) 1 Proposal for a Kannada Script Root Zone Label Generation Ruleset (LGR) 3. Background on Script and Principal Languages Using It 3.1 Kannada language Kannada is one of the scheduled languages of India. It is spoken predominantly by the people of Karnataka State of India. It is one of the major languages among the Dravidian languages. Kannada is also spoken by significant linguistic minorities in the states of Andhra Pradesh, Telangana, Tamil Nadu, Maharashtra, Kerala, Goa and abroad. -
A Script Independent Approach for Handwritten Bilingual Kannada and Telugu Digits Recognition
IJMI International Journal of Machine Intelligence ISSN: 0975–2927 & E-ISSN: 0975–9166, Volume 3, Issue 3, 2011, pp-155-159 Available online at http://www.bioinfo.in/contents.php?id=31 A SCRIPT INDEPENDENT APPROACH FOR HANDWRITTEN BILINGUAL KANNADA AND TELUGU DIGITS RECOGNITION DHANDRA B.V.1, GURURAJ MUKARAMBI1, MALLIKARJUN HANGARGE2 1Department of P.G. Studies and Research in Computer Science Gulbarga University, Gulbarga, Karnataka. 2Department of Computer Science, Karnatak Arts, Science and Commerce College Bidar, Karnataka. *Corresponding author. E-mail: [email protected],[email protected],[email protected] Received: September 29, 2011; Accepted: November 03, 2011 Abstract- In this paper, handwritten Kannada and Telugu digits recognition system is proposed based on zone features. The digit image is divided into 64 zones. For each zone, pixel density is computed. The KNN and SVM classifiers are employed to classify the Kannada and Telugu handwritten digits independently and achieved average recognition accuracy of 95.50%, 96.22% and 99.83%, 99.80% respectively. For bilingual digit recognition the KNN and SVM classifiers are used and achieved average recognition accuracy of 96.18%, 97.81% respectively. Keywords- OCR, Zone Features, KNN, SVM 1. Introduction recognition of isolated handwritten Kannada numerals Recent advances in Computer technology, made every and have reported the recognition accuracy of 90.50%. organization to implement the automatic processing Drawback of this procedure is that, it is not free from systems for its activities. For example, automatic thinning. U. Pal et al. [11] have proposed zoning and recognition of vehicle numbers, postal zip codes for directional chain code features and considered a feature sorting the mails, ID numbers, processing of bank vector of length 100 for handwritten Kannada numeral cheques etc. -
Proposal to Encode Tamil Fractions and Symbols §1. Thanks §2
Proposal to encode Tamil fractions and symbols Shriramana Sharma, jamadagni-at-gmail-dot-com, India 2012-Jul-17 §1. Thanks I owe much to everyone who helped with this proposal. G Balachandran of Sri Lanka heavily contributed to this proposal by sharing the attestations and data which he had collected over five years back in researching this very same topic. Dr Jean-Luc Chevillard of France and Dr Elmar Kniprath of Germany provided the second majority of attestations. Dr Kalyanasundaram (Switzerland), Dr Jayabarathi (Malaysia), K Ramanraj (Chennai), Vijayaraghavan Vanbakkam (Germany), Dr Rajam (US), Dr Vijayavenugopal (Pondicherry), Mani Manivannan (Chennai/US) and A E Elangovan (Chennai) also helped with attestations. Various members of the CTamil list also contributed to related discussions. Vinodh Rajan of Chennai is my personal sounding board for all my proposals and he contributes in too many ways for me to specify. Deborah Anderson continuously helped out with encouragement and enthusiasm-bolstering :-). I express my sincere thanks to all these people and to anyone else not mentioned (my apologies!). Preparing this has been a lengthy journey, and you all helped me through! §2. Introduction Compared to other Indic scripts/regions, the Tamil-speaking region has employed a larger set of symbols for fractions and abbreviations. These symbols, especially the fractions, have been referred to in various documents already submitted to the UTC, including my Grantha proposal L2/09-372 (p 6). A comprehensive proposal has been desirable for quite some time for the addition of characters to Unicode to enable the textual representation of these rare heritage written forms which are to be found in old Tamil manuscripts and books. -
15178-Devanagari-Spacing-Anusvara
Proposal to encode A8FE DEVANAGARI SIGN SPACING ANUSVARA Shriramana Sharma, jamadagni-at-gmail-dot-com, India 2015-Jun-06 This is a proposal to encode one character in the Devanagari Extended block for Samavedic: ◌० A8FE DEVANAGARI SIGN SPACING ANUSVARA This is in contrast to the regular anusvara for this script 0902 ◌ं DEVANAGARI SIGN ANUSVARA as also to the various Vedic anusvara-s seen in Samavedic. On the other hand, this is parallel to the spacing anusvara-s in other Indic scripts which are attested for Vedic (0982 Bengali, 0B02 Oriya, 0C02 Telugu, 0C82 Kannada, 0D02 Malayalam, 11302 Grantha) and glyphically identical to all of them except Bengali. However it should be positioned vertically centered with the Devanagari digits identical to 0966 ० DEVANAGARI DIGIT ZERO. §1. Discussion The regular Devanagari anusvara 0902 ◌ं is non-spacing. This poses a problem when composing texts of the Sama Veda since these use digits on the mainline to denote svara-s: (Below, we refer to the written representation of the linguistic pattern [C*]V as “syllable”.) 1) In the Ṛc-s (verses) a kampa or “aggravated” svarita svara is marked by a 2 above the syllable (or inferred as continued from a previous syllable), a KA or avagraha above the syllable, and a digit 3 following the syllable (see L2/09-372 pp 13 and 14 and L2/15-162 p 4). The digit 3 here denotes the anudātta svara in the latter part of the kampa. 2) In the Sāman-s (melodies), secondary svara-s in which a syllable’s vowel should be continued to be sung are marked by digits following the syllable. -
Proposal for a Gujarati Script Root Zone Label Generation Ruleset (LGR)
Proposal for a Gujarati Root Zone LGR Neo-Brahmi Generation Panel Proposal for a Gujarati Script Root Zone Label Generation Ruleset (LGR) LGR Version: 3.0 Date: 2019-03-06 Document version: 3.6 Authors: Neo-Brahmi Generation Panel [NBGP] 1 General Information/ Overview/ Abstract The purpose of this document is to give an overview of the proposed Gujarati LGR in the XML format and the rationale behind the design decisions taken. It includes a discussion of relevant features of the script, the communities or languages using it, the process and methodology used and information on the contributors. The formal specification of the LGR can be found in the accompanying XML document: proposal-gujarati-lgr-06mar19-en.xml Labels for testing can be found in the accompanying text document: gujarati-test-labels-06mar19-en.txt 2 Script for which the LGR is proposed ISO 15924 Code: Gujr ISO 15924 Key N°: 320 ISO 15924 English Name: Gujarati Latin transliteration of native script name: gujarâtî Native name of the script: ગજુ રાતી Maximal Starting Repertoire (MSR) version: MSR-4 1 Proposal for a Gujarati Root Zone LGR Neo-Brahmi Generation Panel 3 Background on the Script and the Principal Languages Using it1 Gujarati (ગજુ રાતી) [also sometimes written as Gujerati, Gujarathi, Guzratee, Guujaratee, Gujrathi, and Gujerathi2] is an Indo-Aryan language native to the Indian state of Gujarat. It is part of the greater Indo-European language family. It is so named because Gujarati is the language of the Gujjars. Gujarati's origins can be traced back to Old Gujarati (circa 1100– 1500 AD).