Fractal Dimensions of Different Writing Systems and Their Possible Implications
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Armenian Secret and Invented Languages and Argots
Armenian Secret and Invented Languages and Argots The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Russell, James R. Forthcoming. Armenian secret and invented languages and argots. Proceedings of the Institute of Linguistics of the Russian Academy of Sciences. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:9938150 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#OAP 1 ARMENIAN SECRET AND INVENTED LANGUAGES AND ARGOTS. By James R. Russell, Harvard University. Светлой памяти Карена Никитича Юзбашяна посвящается это исследование. CONTENTS: Preface 1. Secret languages and argots 2. Philosophical and hypothetical languages 3. The St. Petersburg Manuscript 4. The Argot of the Felt-Beaters 5. Appendices: 1. Description of St. Petersburg MS A 29 2. Glossary of the Ṙuštuni language 3. Glossary of the argot of the Felt-Beaters of Moks 4. Texts in the “Third Script” of MS A 29 List of Plates Bibliography PREFACE Much of the research for this article was undertaken in Armenia and Russia in June and July 2011 and was funded by a generous O’Neill grant through the Davis Center for Russian and Eurasian Studies at Harvard. For their eager assistance and boundless hospitality I am grateful to numerous friends and colleagues who made my visit pleasant and successful. For their generous assistance in Erevan and St. -
Technical Reference Manual for the Standardization of Geographical Names United Nations Group of Experts on Geographical Names
ST/ESA/STAT/SER.M/87 Department of Economic and Social Affairs Statistics Division Technical reference manual for the standardization of geographical names United Nations Group of Experts on Geographical Names United Nations New York, 2007 The Department of Economic and Social Affairs of the United Nations Secretariat is a vital interface between global policies in the economic, social and environmental spheres and national action. The Department works in three main interlinked areas: (i) it compiles, generates and analyses a wide range of economic, social and environmental data and information on which Member States of the United Nations draw to review common problems and to take stock of policy options; (ii) it facilitates the negotiations of Member States in many intergovernmental bodies on joint courses of action to address ongoing or emerging global challenges; and (iii) it advises interested Governments on the ways and means of translating policy frameworks developed in United Nations conferences and summits into programmes at the country level and, through technical assistance, helps build national capacities. NOTE The designations employed and the presentation of material in the present publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The term “country” as used in the text of this publication also refers, as appropriate, to territories or areas. Symbols of United Nations documents are composed of capital letters combined with figures. ST/ESA/STAT/SER.M/87 UNITED NATIONS PUBLICATION Sales No. -
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. -
ISO Basic Latin Alphabet
ISO basic Latin alphabet The ISO basic Latin alphabet is a Latin-script alphabet and consists of two sets of 26 letters, codified in[1] various national and international standards and used widely in international communication. The two sets contain the following 26 letters each:[1][2] ISO basic Latin alphabet Uppercase Latin A B C D E F G H I J K L M N O P Q R S T U V W X Y Z alphabet Lowercase Latin a b c d e f g h i j k l m n o p q r s t u v w x y z alphabet Contents History Terminology Name for Unicode block that contains all letters Names for the two subsets Names for the letters Timeline for encoding standards Timeline for widely used computer codes supporting the alphabet Representation Usage Alphabets containing the same set of letters Column numbering See also References History By the 1960s it became apparent to thecomputer and telecommunications industries in the First World that a non-proprietary method of encoding characters was needed. The International Organization for Standardization (ISO) encapsulated the Latin script in their (ISO/IEC 646) 7-bit character-encoding standard. To achieve widespread acceptance, this encapsulation was based on popular usage. The standard was based on the already published American Standard Code for Information Interchange, better known as ASCII, which included in the character set the 26 × 2 letters of the English alphabet. Later standards issued by the ISO, for example ISO/IEC 8859 (8-bit character encoding) and ISO/IEC 10646 (Unicode Latin), have continued to define the 26 × 2 letters of the English alphabet as the basic Latin script with extensions to handle other letters in other languages.[1] Terminology Name for Unicode block that contains all letters The Unicode block that contains the alphabet is called "C0 Controls and Basic Latin". -
Neural Substrates of Hanja (Logogram) and Hangul (Phonogram) Character Readings by Functional Magnetic Resonance Imaging
ORIGINAL ARTICLE Neuroscience http://dx.doi.org/10.3346/jkms.2014.29.10.1416 • J Korean Med Sci 2014; 29: 1416-1424 Neural Substrates of Hanja (Logogram) and Hangul (Phonogram) Character Readings by Functional Magnetic Resonance Imaging Zang-Hee Cho,1 Nambeom Kim,1 The two basic scripts of the Korean writing system, Hanja (the logography of the traditional Sungbong Bae,2 Je-Geun Chi,1 Korean character) and Hangul (the more newer Korean alphabet), have been used together Chan-Woong Park,1 Seiji Ogawa,1,3 since the 14th century. While Hanja character has its own morphemic base, Hangul being and Young-Bo Kim1 purely phonemic without morphemic base. These two, therefore, have substantially different outcomes as a language as well as different neural responses. Based on these 1Neuroscience Research Institute, Gachon University, Incheon, Korea; 2Department of linguistic differences between Hanja and Hangul, we have launched two studies; first was Psychology, Yeungnam University, Kyongsan, Korea; to find differences in cortical activation when it is stimulated by Hanja and Hangul reading 3Kansei Fukushi Research Institute, Tohoku Fukushi to support the much discussed dual-route hypothesis of logographic and phonological University, Sendai, Japan routes in the brain by fMRI (Experiment 1). The second objective was to evaluate how Received: 14 February 2014 Hanja and Hangul affect comprehension, therefore, recognition memory, specifically the Accepted: 5 July 2014 effects of semantic transparency and morphemic clarity on memory consolidation and then related cortical activations, using functional magnetic resonance imaging (fMRI) Address for Correspondence: (Experiment 2). The first fMRI experiment indicated relatively large areas of the brain are Young-Bo Kim, MD Department of Neuroscience and Neurosurgery, Gachon activated by Hanja reading compared to Hangul reading. -
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. -
Recognition of Online Handwritten Gurmukhi Strokes Using Support Vector Machine a Thesis
Recognition of Online Handwritten Gurmukhi Strokes using Support Vector Machine A Thesis Submitted in partial fulfillment of the requirements for the award of the degree of Master of Technology Submitted by Rahul Agrawal (Roll No. 601003022) Under the supervision of Dr. R. K. Sharma Professor School of Mathematics and Computer Applications Thapar University Patiala School of Mathematics and Computer Applications Thapar University Patiala – 147004 (Punjab), INDIA June 2012 (i) ABSTRACT Pen-based interfaces are becoming more and more popular and play an important role in human-computer interaction. This popularity of such interfaces has created interest of lot of researchers in online handwriting recognition. Online handwriting recognition contains both temporal stroke information and spatial shape information. Online handwriting recognition systems are expected to exhibit better performance than offline handwriting recognition systems. Our research work presented in this thesis is to recognize strokes written in Gurmukhi script using Support Vector Machine (SVM). The system developed here is a writer independent system. First chapter of this thesis report consist of a brief introduction to handwriting recognition system and some basic differences between offline and online handwriting systems. It also includes various issues that one can face during development during online handwriting recognition systems. A brief introduction about Gurmukhi script has also been given in this chapter In the last section detailed literature survey starting from the 1979 has also been given. Second chapter gives detailed information about stroke capturing, preprocessing of stroke and feature extraction. These phases are considered to be backbone of any online handwriting recognition system. Recognition techniques that have been used in this study are discussed in chapter three. -
Sinitic Language and Script in East Asia: Past and Present
SINO-PLATONIC PAPERS Number 264 December, 2016 Sinitic Language and Script in East Asia: Past and Present edited by Victor H. Mair Victor H. Mair, Editor Sino-Platonic Papers Department of East Asian Languages and Civilizations University of Pennsylvania Philadelphia, PA 19104-6305 USA [email protected] www.sino-platonic.org SINO-PLATONIC PAPERS FOUNDED 1986 Editor-in-Chief VICTOR H. MAIR Associate Editors PAULA ROBERTS MARK SWOFFORD ISSN 2157-9679 (print) 2157-9687 (online) SINO-PLATONIC PAPERS is an occasional series dedicated to making available to specialists and the interested public the results of research that, because of its unconventional or controversial nature, might otherwise go unpublished. The editor-in-chief actively encourages younger, not yet well established, scholars and independent authors to submit manuscripts for consideration. Contributions in any of the major scholarly languages of the world, including romanized modern standard Mandarin (MSM) and Japanese, are acceptable. In special circumstances, papers written in one of the Sinitic topolects (fangyan) may be considered for publication. Although the chief focus of Sino-Platonic Papers is on the intercultural relations of China with other peoples, challenging and creative studies on a wide variety of philological subjects will be entertained. This series is not the place for safe, sober, and stodgy presentations. Sino- Platonic Papers prefers lively work that, while taking reasonable risks to advance the field, capitalizes on brilliant new insights into the development of civilization. Submissions are regularly sent out to be refereed, and extensive editorial suggestions for revision may be offered. Sino-Platonic Papers emphasizes substance over form. -
Arabic Alphabet - Wikipedia, the Free Encyclopedia Arabic Alphabet from Wikipedia, the Free Encyclopedia
2/14/13 Arabic alphabet - Wikipedia, the free encyclopedia Arabic alphabet From Wikipedia, the free encyclopedia َأﺑْ َﺠ ِﺪﯾﱠﺔ َﻋ َﺮﺑِﯿﱠﺔ :The Arabic alphabet (Arabic ’abjadiyyah ‘arabiyyah) or Arabic abjad is Arabic abjad the Arabic script as it is codified for writing the Arabic language. It is written from right to left, in a cursive style, and includes 28 letters. Because letters usually[1] stand for consonants, it is classified as an abjad. Type Abjad Languages Arabic Time 400 to the present period Parent Proto-Sinaitic systems Phoenician Aramaic Syriac Nabataean Arabic abjad Child N'Ko alphabet systems ISO 15924 Arab, 160 Direction Right-to-left Unicode Arabic alias Unicode U+0600 to U+06FF range (http://www.unicode.org/charts/PDF/U0600.pdf) U+0750 to U+077F (http://www.unicode.org/charts/PDF/U0750.pdf) U+08A0 to U+08FF (http://www.unicode.org/charts/PDF/U08A0.pdf) U+FB50 to U+FDFF (http://www.unicode.org/charts/PDF/UFB50.pdf) U+FE70 to U+FEFF (http://www.unicode.org/charts/PDF/UFE70.pdf) U+1EE00 to U+1EEFF (http://www.unicode.org/charts/PDF/U1EE00.pdf) Note: This page may contain IPA phonetic symbols. Arabic alphabet ا ب ت ث ج ح خ د ذ ر ز س ش ص ض ط ظ ع en.wikipedia.org/wiki/Arabic_alphabet 1/20 2/14/13 Arabic alphabet - Wikipedia, the free encyclopedia غ ف ق ك ل م ن ه و ي History · Transliteration ء Diacritics · Hamza Numerals · Numeration V · T · E (//en.wikipedia.org/w/index.php?title=Template:Arabic_alphabet&action=edit) Contents 1 Consonants 1.1 Alphabetical order 1.2 Letter forms 1.2.1 Table of basic letters 1.2.2 Further notes -
Old Cyrillic in Unicode*
Old Cyrillic in Unicode* Ivan A Derzhanski Institute for Mathematics and Computer Science, Bulgarian Academy of Sciences [email protected] The current version of the Unicode Standard acknowledges the existence of a pre- modern version of the Cyrillic script, but its support thereof is limited to assigning code points to several obsolete letters. Meanwhile mediæval Cyrillic manuscripts and some early printed books feature a plethora of letter shapes, ligatures, diacritic and punctuation marks that want proper representation. (In addition, contemporary editions of mediæval texts employ a variety of annotation signs.) As generally with scripts that predate printing, an obvious problem is the abundance of functional, chronological, regional and decorative variant shapes, the precise details of whose distribution are often unknown. The present contents of the block will need to be interpreted with Old Cyrillic in mind, and decisions to be made as to which remaining characters should be implemented via Unicode’s mechanism of variation selection, as ligatures in the typeface, or as code points in the Private space or the standard Cyrillic block. I discuss the initial stage of this work. The Unicode Standard (Unicode 4.0.1) makes a controversial statement: The historical form of the Cyrillic alphabet is treated as a font style variation of modern Cyrillic because the historical forms are relatively close to the modern appearance, and because some of them are still in modern use in languages other than Russian (for example, U+0406 “I” CYRILLIC CAPITAL LETTER I is used in modern Ukrainian and Byelorussian). Some of the letters in this range were used in modern typefaces in Russian and Bulgarian. -
Shahmukhi to Gurmukhi Transliteration System: a Corpus Based Approach
Shahmukhi to Gurmukhi Transliteration System: A Corpus based Approach Tejinder Singh Saini1 and Gurpreet Singh Lehal2 1 Advanced Centre for Technical Development of Punjabi Language, Literature & Culture, Punjabi University, Patiala 147 002, Punjab, India [email protected] http://www.advancedcentrepunjabi.org 2 Department of Computer Science, Punjabi University, Patiala 147 002, Punjab, India [email protected] Abstract. This research paper describes a corpus based transliteration system for Punjabi language. The existence of two scripts for Punjabi language has created a script barrier between the Punjabi literature written in India and in Pakistan. This research project has developed a new system for the first time of its kind for Shahmukhi script of Punjabi language. The proposed system for Shahmukhi to Gurmukhi transliteration has been implemented with various research techniques based on language corpus. The corpus analysis program has been run on both Shahmukhi and Gurmukhi corpora for generating statistical data for different types like character, word and n-gram frequencies. This statistical analysis is used in different phases of transliteration. Potentially, all members of the substantial Punjabi community will benefit vastly from this transliteration system. 1 Introduction One of the great challenges before Information Technology is to overcome language barriers dividing the mankind so that everyone can communicate with everyone else on the planet in real time. South Asia is one of those unique parts of the world where a single language is written in different scripts. This is the case, for example, with Punjabi language spoken by tens of millions of people but written in Indian East Punjab (20 million) in Gurmukhi script (a left to right script based on Devanagari) and in Pakistani West Punjab (80 million), written in Shahmukhi script (a right to left script based on Arabic), and by a growing number of Punjabis (2 million) in the EU and the US in the Roman script. -
Learning Cyrillic
LEARNING CYRILLIC Question: If there is no equivalent letter in the Cyrillic alphabet for the Roman "J" or "H" how do you transcribe good German names like Johannes, Heinrich, Wilhelm, etc. I heard one suggestion that Johann was written as Ivan and that the "h" was replaced with a "g". Can you give me a little insight into what you have found? In researching would I be looking for the name Ivan rather than Johann? One must always think phonetic, that is, think how a name is pronounced in German, and how does the Russian Cyrillic script produce that sound? JOHANNES. The Cyrillic spelling begins with the letter “I – eye”, but pronounced “eee”, so we have phonetically “eee-o-hann” which sounds like “Yo-hann”. You can see it better in typeface – Иоганн , which letter for letter reads as “I-o-h-a-n-n”. The modern Typeface script is radically different than the old hand-written Cyrillic script. Use the guide which I sent to you. Ivan is the Russian equivalent of Johann, and it pops up occasionally in Church records. JOSEPH / JOSEF. Listen to the way the name is pronounced in German – “yo-sef”, also “yo-sif”. That “yo” sound is produced by the Cyrillic script letters “I” and “o”. Again you can see it in the typeface. Иосеф and also Иосиф. And sometimes Joseph appears as , transliterated as O-s-i-p. Similar to all languages and scripts, Cyrillic spellings are not consistent. The “a” ending indicates a male name. JAKOB. There is no “Jay” sound in the German language.