Proposal to Encode an Abbreviation Sign for Gurmukhi L2/16-209
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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. -
The What and Why of Whole Number Arithmetic: Foundational Ideas from History, Language and Societal Changes
Portland State University PDXScholar Mathematics and Statistics Faculty Fariborz Maseeh Department of Mathematics Publications and Presentations and Statistics 3-2018 The What and Why of Whole Number Arithmetic: Foundational Ideas from History, Language and Societal Changes Xu Hu Sun University of Macau Christine Chambris Université de Cergy-Pontoise Judy Sayers Stockholm University Man Keung Siu University of Hong Kong Jason Cooper Weizmann Institute of Science SeeFollow next this page and for additional additional works authors at: https:/ /pdxscholar.library.pdx.edu/mth_fac Part of the Science and Mathematics Education Commons Let us know how access to this document benefits ou.y Citation Details Sun X.H. et al. (2018) The What and Why of Whole Number Arithmetic: Foundational Ideas from History, Language and Societal Changes. In: Bartolini Bussi M., Sun X. (eds) Building the Foundation: Whole Numbers in the Primary Grades. New ICMI Study Series. Springer, Cham This Book Chapter is brought to you for free and open access. It has been accepted for inclusion in Mathematics and Statistics Faculty Publications and Presentations by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. Authors Xu Hu Sun, Christine Chambris, Judy Sayers, Man Keung Siu, Jason Cooper, Jean-Luc Dorier, Sarah Inés González de Lora Sued, Eva Thanheiser, Nadia Azrou, Lynn McGarvey, Catherine Houdement, and Lisser Rye Ejersbo This book chapter is available at PDXScholar: https://pdxscholar.library.pdx.edu/mth_fac/253 Chapter 5 The What and Why of Whole Number Arithmetic: Foundational Ideas from History, Language and Societal Changes Xu Hua Sun , Christine Chambris Judy Sayers, Man Keung Siu, Jason Cooper , Jean-Luc Dorier , Sarah Inés González de Lora Sued , Eva Thanheiser , Nadia Azrou , Lynn McGarvey , Catherine Houdement , and Lisser Rye Ejersbo 5.1 Introduction Mathematics learning and teaching are deeply embedded in history, language and culture (e.g. -
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 [ ]. -
Indic Loanwords In Tocharian B, Local Markedness, And The Animacy
Indic Loanwords in Tocharian B, Local Markedness, and the Animacy Hierarchy Francesco Burroni and Michael Weiss (Department of Linguistics, Cornell University) A question that is rarely addressed in the literature devoted to Language Contact is: how are nominal forms borrowed when the donor and the recipient language both possess rich inflectional morphology? Can nominal forms be borrowed from and in different cases? What are the decisive factors shaping the borrowing scenario? In this paper, we frame this question from the angle of a case study involving two ancient Indo-European languages: Tocharian and Indic (Sanskrit, Prakrit(s)). Most studies dedicated to the topic of loanwords in Tocharian B (henceforth TB) have focused on borrowings from Iranian (e.g. Tremblay 2005), but little attention has been so far devoted to forms borrowed from Indic, perhaps because they are considered uninteresting. We argue that such forms, however, are of interest for the study of Language Contact. A remarkable feature of Indic borrowings into TB is that a-stems are borrowed in TB as e-stems when denoting animate referents, but as consonant (C-)stems when denoting inanimate referents, a distribution that was noticed long ago by Mironov (1928, following Staёl-Holstein 1910:117 on Uyghur). In the literature, however, one finds no reaction to Mironov’s idea. By means of a systematic study of all the a-stems borrowed from Indic into TB, we argue that the trait [+/- animate] of the referent is, in fact, a very good predictor of the TB shape of the borrowing, e.g. male personal names from Skt. -
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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). -
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. -
Tibetan Romanization Table
Tibetan Comment [LRH1]: Transliteration revisions are highlighted below in light-gray or otherwise noted in a comment. ALA-LC romanization of Tibetan letters follows the principles of the Wylie transliteration system, as described by Turrell Wylie (1959). Diacritical marks are used for those letters representing Indic or other non-Tibetan languages, and parallel the use of these marks when transcribing their counterpart letters in Sanskrit. These are applied for the sake of consistency, and to reflect international publishing standards. Accordingly, romanize words of non-Tibetan origin systematically (following this table) in all cases, even though the word may derive from Sanskrit or another language. When Tibetan is written in another script (e.g., ʼPhags-pa) the corresponding letters in that script are also romanized according to this table. Consonants (see Notes 1-3) Vernacular Romanization Vernacular Romanization Vernacular Romanization ka da zha ཀ་ ད་ ཞ་ kha na za ཁ་ ན་ ཟ་ Comment [LH2]: While the current ALA-LC ga pa ’a table stipulates that an apostrophe should be used, ག་ པ་ འ་ this revision proposal recommends that the long- nga pha ya standing defacto LC practice of using an alif (U+02BC) be continued and explicitly stipulated in ང་ ཕ་ ཡ་ the Table. See accompanying Narrative for details. ca ba ra ཅ་ བ་ ར་ cha ma la ཆ་ མ་ ལ་ ja tsa sha ཇ་ ཙ་ ཤ་ nya tsha sa ཉ་ ཚ་ ས་ ta dza ha ཏ་ ཛ་ ཧ་ tha wa a ཐ་ ཝ་ ཨ་ Vowels and Diphthongs (see Notes 4 and 5) ཨི་ i ཨཱི་ ī རྀ་ r̥ ཨུ་ u ཨཱུ་ ū རཱྀ་ r̥̄ ཨེ་ e ཨཻ་ ai ལྀ་ ḷ ཨོ་ o ཨཽ་ au ལཱྀ ḹ ā ཨཱ་ Other Letters or Diacritical Marks Used in Words of Non-Tibetan Origin (see Notes 6 and 7) ṭa gha ḍha ཊ་ གྷ་ ཌྷ་ ṭha jha anusvāra ṃ Comment [LH3]: This letter combination does ཋ་ ཇྷ་ ◌ ཾ not occur in Tibetan texts, and has been deprecated from the Unicode Standard. -
A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection Debanjana Kar* Mohit Bhardwaj* Suranjana Samanta Amar Prakash Azad Dept. of CSE Dept. of CSE IBM Research IBM Research IIT Kharagpur, India IIIT Delhi, India Bangalore, India Bangalore, India [email protected] [email protected] [email protected] [email protected] Abstract—The sudden widespread menace created by the present global pandemic COVID-19 has had an unprecedented effect on our lives. Man-kind is going through humongous fear and dependence on social media like never before. Fear inevitably leads to panic, speculations, and spread of misinformation. Many governments have taken measures to curb the spread of such misinformation for public well being. Besides global measures, to have effective outreach, systems for demographically local languages have an important role to play in this effort. Towards this, we propose an approach to detect fake news about COVID- 19 early on from social media, such as tweets, for multiple Fig. 1. Two examples of COVID-19 related tweets; Left one shows an Indic-Languages besides English. In addition, we also create an example of fake tweet, which has high number of retweet and like counts; annotated dataset of Hindi and Bengali tweet for fake news Right one shows an example of tweet with real facts, which is has low number of retweets. Number of retweets and likes is proportional to the popularity of detection. We propose a BERT based model augmented with a tweet. additional relevant features extracted from Twitter to identify fake tweets. -
Prof. P. Bhaskar Reddy Sri Venkateswara University, Tirupati
Component-I (A) – Personal details: Prof. P. Bhaskar Reddy Sri Venkateswara University, Tirupati. Prof. P. Bhaskar Reddy Sri Venkateswara University, Tirupati. & Dr. K. Muniratnam Director i/c, Epigraphy, ASI, Mysore Dr. Sayantani Pal Dept. of AIHC, University of Calcutta. Prof. P. Bhaskar Reddy Sri Venkateswara University, Tirupati. Component-I (B) – Description of module: Subject Name Indian Culture Paper Name Indian Epigraphy Module Name/Title Kharosthi Script Module Id IC / IEP / 15 Pre requisites Kharosthi Script – Characteristics – Origin – Objectives Different Theories – Distribution and its End Keywords E-text (Quadrant-I) : 1. Introduction Kharosthi was one of the major scripts of the Indian subcontinent in the early period. In the list of 64 scripts occurring in the Lalitavistara (3rd century CE), a text in Buddhist Hybrid Sanskrit, Kharosthi comes second after Brahmi. Thus both of them were considered to be two major scripts of the Indian subcontinent. Both Kharosthi and Brahmi are first encountered in the edicts of Asoka in the 3rd century BCE. 2. Discovery of the script and its Decipherment The script was first discovered on one side of a large number of coins bearing Greek legends on the other side from the north western part of the Indian subcontinent in the first quarter of the 19th century. Later in 1830 to 1834 two full inscriptions of the time of Kanishka bearing the same script were found at Manikiyala in Pakistan. After this discovery James Prinsep named the script as ‘Bactrian Pehelevi’ since it occurred on a number of so called ‘Bactrian’ coins. To James Prinsep the characters first looked similar to Pahlavi (Semitic) characters. -
The Formal Kharoṣṭhī Script from the Northern Tarim Basin in Northwest
Acta Orientalia Hung. 73 (2020) 3, 335–373 DOI: 10.1556/062.2020.00015 Th e Formal Kharoṣṭhī script from the Northern Tarim Basin in Northwest China may write an Iranian language1 FEDERICO DRAGONI, NIELS SCHOUBBEN and MICHAËL PEYROT* L eiden University Centre for Linguistics, Universiteit Leiden, Postbus 9515, 2300 RA Leiden, Th e Netherlands E-mail: [email protected]; [email protected]; *Corr esponding Author: [email protected] Received: February 13, 2020 •Accepted: May 25, 2020 © 2020 The Authors ABSTRACT Building on collaborative work with Stefan Baums, Ching Chao-jung, Hannes Fellner and Georges-Jean Pinault during a workshop at Leiden University in September 2019, tentative readings are presented from a manuscript folio (T II T 48) from the Northern Tarim Basin in Northwest China written in the thus far undeciphered Formal Kharoṣṭhī script. Unlike earlier scholarly proposals, the language of this folio can- not be Tocharian, nor can it be Sanskrit or Middle Indic (Gāndhārī). Instead, it is proposed that the folio is written in an Iranian language of the Khotanese-Tumšuqese type. Several readings are proposed, but a full transcription, let alone a full translation, is not possible at this point, and the results must consequently remain provisional. KEYWORDS Kharoṣṭhī, Formal Kharoṣṭhī, Khotanese, Tumšuqese, Iranian, Tarim Basin 1 We are grateful to Stefan Baums, Chams Bernard, Ching Chao-jung, Doug Hitch, Georges-Jean Pinault and Nicholas Sims-Williams for very helpful discussions and comments on an earlier draft. We also thank the two peer-reviewers of the manuscript. One of them, Richard Salomon, did not wish to remain anonymous, and espe- cially his observation on the possible relevance of Khotan Kharoṣṭhī has proved very useful. -
Designing Devanagari Type
Designing Devanagari type The effect of technological restrictions on current practice Kinnat Sóley Lydon BA degree final project Iceland Academy of the Arts Department of Design and Architecture Designing Devanagari type: The effect of technological restrictions on current practice Kinnat Sóley Lydon Final project for a BA degree in graphic design Advisor: Gunnar Vilhjálmsson Graphic design Department of Design and Architecture December 2015 This thesis is a 6 ECTS final project for a Bachelor of Arts degree in graphic design. No part of this thesis may be reproduced in any form without the express consent of the author. Abstract This thesis explores the current process of designing typefaces for Devanagari, a script used to write several languages in India and Nepal. The typographical needs of the script have been insufficiently met through history and many Devanagari typefaces are poorly designed. As the various printing technologies available through the centuries have had drastic effects on the design of Devanagari, the thesis begins with an exploration of the printing history of the script. Through this exploration it is possible to understand which design elements constitute the script, and which ones are simply legacies of older technologies. Following the historic overview, the character set and unique behavior of the script is introduced. The typographical anatomy is analyzed, while pointing out specific design elements of the script. Although recent years has seen a rise of interest on the subject of Devanagari type design, literature on the topic remains sparse. This thesis references books and articles from a wide scope, relying heavily on the works of Fiona Ross and her extensive research on non-Latin typography.