Inflectional Morphology Analyzer for Sanskrit
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Cross-Language Framework for Word Recognition and Spotting of Indic Scripts
Cross-language Framework for Word Recognition and Spotting of Indic Scripts aAyan Kumar Bhunia, bPartha Pratim Roy*, aAkash Mohta, cUmapada Pal aDept. of ECE, Institute of Engineering & Management, Kolkata, India bDept. of CSE, Indian Institute of Technology Roorkee India cCVPR Unit, Indian Statistical Institute, Kolkata, India bemail: [email protected], TEL: +91-1332-284816 Abstract Handwritten word recognition and spotting of low-resource scripts are difficult as sufficient training data is not available and it is often expensive for collecting data of such scripts. This paper presents a novel cross language platform for handwritten word recognition and spotting for such low-resource scripts where training is performed with a sufficiently large dataset of an available script (considered as source script) and testing is done on other scripts (considered as target script). Training with one source script and testing with another script to have a reasonable result is not easy in handwriting domain due to the complex nature of handwriting variability among scripts. Also it is difficult in mapping between source and target characters when they appear in cursive word images. The proposed Indic cross language framework exploits a large resource of dataset for training and uses it for recognizing and spotting text of other target scripts where sufficient amount of training data is not available. Since, Indic scripts are mostly written in 3 zones, namely, upper, middle and lower, we employ zone-wise character (or component) mapping for efficient learning purpose. The performance of our cross- language framework depends on the extent of similarity between the source and target scripts. -
OSU WPL # 27 (1983) 140- 164. the Elimination of Ergative Patterns Of
OSU WPL # 27 (1983) 140- 164. The Elimination of Ergative Patterns of Case-Marking and Verbal Agreement in Modern Indic Languages Gregory T. Stump Introduction. As is well known, many of the modern Indic languages are partially ergative, showing accusative patterns of case- marking and verbal agreement in nonpast tenses, but ergative patterns in some or all past tenses. This partial ergativity is not at all stable in these languages, however; what I wish to show in the present paper, in fact, is that a large array of factors is contributing to the elimination of partial ergativity in the modern Indic languages. The forces leading to the decay of ergativity are diverse in nature; and any one of these may exert a profound influence on the syntactic development of one language but remain ineffectual in another. Before discussing this erosion of partial ergativity in Modern lndic, 1 would like to review the history of what the I ndian grammar- ians call the prayogas ('constructions') of a past tense verb with its subject and direct object arguments; the decay of Indic ergativity is, I believe, best envisioned as the effect of analogical develop- ments on or within the system of prayogas. There are three prayogas in early Modern lndic. The first of these is the kartariprayoga, or ' active construction' of intransitive verbs. In the kartariprayoga, the verb agrees (in number and p,ender) with its subject, which is in the nominative case--thus, in Vernacular HindOstani: (1) kartariprayoga: 'aurat chali. mard chala. woman (nom.) went (fern. sg.) man (nom.) went (masc. -
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. -
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 [ ]. -
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 -
Tugboat, Volume 15 (1994), No. 4 447 Indica, an Indic Preprocessor
TUGboat, Volume 15 (1994), No. 4 447 HPXC , an Indic preprocessor for T X script, ...inMalayalam, Indica E 1 A Sinhalese TEXSystem hpx...inSinhalese,etc. This justifies the choice of a common translit- Yannis Haralambous eration scheme for all Indic languages. But why is Abstract a preprocessor necessary, after all? A common characteristic of Indic languages is In this paper a two-fold project is described: the first the fact that the short vowel ‘a’ is inherent to con- part is a generalized preprocessor for Indic scripts (scripts of languages currently spoken in India—except Urdu—, sonants. Vowels are written by adding diacritical Sanskrit and Tibetan), with several kinds of input (LATEX marks (or smaller characters) to consonants. The commands, 7-bit ascii, CSX, ISO/IEC 10646/unicode) beauty (and complexity) of these scripts comes from and TEX output. This utility is written in standard Flex the fact that one needs a special way to denote the (the gnu version of Lex), and hence can be painlessly absence of vowel. There is a notorious diacritic, compiled on any platform. The same input methods are called “vir¯ama”, present in all Indic languages, which used for all Indic languages, so that the user does not is used for this reason. But it seems illogical to add a need to memorize different conventions and commands sign, to specify the absence of a sound. On the con- for each one of them. Moreover, the switch from one lan- trary, it seems much more logical to remove some- guage to another can be done by use of user-defineable thing, and what is done usually is that letters are preprocessor directives. -
Sanskrit Translation Now Made, Be Crowned with Success ! PUBLISHER's NOTE
“KOHAM?” (Who am I ?) Sri Ramanasramam Tiruvannamalai - 606 603. 2008 Koham ? (Who am I ?) Published by V. S. Ramanan, President, Sri Ramanasramam, Tiruvannamalai - 606 603. Phone : 04175-237200 email : [email protected] Website : www.sriramanamaharshi.org © Sri Ramanasramam Tiruvannamalai. Salutations to Sri Ramana Who resides in the Heart Lotus PREFACE TO THE FIRST EDITION Many were the devotees who were attracted to the presence of Bhagavan Sri Ramana while he was living in the Virupaksha Cave, situated in the holy region of Arunachala, the Heart Centre of the world, which confers liberation on those who (merely) think of It. They were drawn to him on account of his wonderful state of tapas - absorption in the silence of yoga samadhi, which is difficult of achievement. One among these devotees was Sivaprakasam Pillai who approached Maharshi in 1901-02 with devotion, faith and humility and prayed that he may be blessed with instructions on Reality. The questions raised over a period of time by Sivaprakasam Pillai were answered by the silent Maharshi in writing - in Tamil. The compilation (of the instruction) in the form of questions and answers has already been translated into Malayalam and many other languages. May this Sanskrit translation now made, be crowned with success ! PUBLISHER'S NOTE The Sanskrit translation of Sri Bhagavan's Who am I ? entitled Koham? by Jagadiswara Sastry was published earlier in 1945. We are happy to bring out a second edition. The special feature of this edition is that the text is in Sri Bhagavan's handwriting. A transliteration of the text into English has also been provided. -
Vidyut Documentation
Vidyut A Phonetic Keyboard for Sanskrit Developers: Adolf von Württemberg ([email protected]) Les Morgan ([email protected]) Download: http://www.mywhatever.com/sanskrit/vidyut Current version: 5.0 (August 27, 2010) Requirements: Windows XP, Vista, Windows 7; 32-bit or 64-bit License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ Vidyut Keyboard, Version 5 (Documentation as of 17 September 2010) Page 1 Contents Overview and Key Features ...................................................................................................................................... 3 Font Issues ................................................................................................................................................................... 5 Installation instructions ............................................................................................................................................. 6 Typing Method ......................................................................................................................................................... 15 Customization ........................................................................................................................................................... 18 Keyboard Encoding Table (in Keyboard key order) ............................................................................................ 19 Keyboard Layout ..................................................................................................................................................... -
Devan¯Agar¯I for TEX Version 2.17.1
Devanagar¯ ¯ı for TEX Version 2.17.1 Anshuman Pandey 6 March 2019 Contents 1 Introduction 2 2 Project Information 3 3 Producing Devan¯agar¯ıText with TEX 3 3.1 Macros and Font Definition Files . 3 3.2 Text Delimiters . 4 3.3 Example Input Files . 4 4 Input Encoding 4 4.1 Supplemental Notes . 4 5 The Preprocessor 5 5.1 Preprocessor Directives . 7 5.2 Protecting Text from Conversion . 9 5.3 Embedding Roman Text within Devan¯agar¯ıText . 9 5.4 Breaking Pre-Defined Conjuncts . 9 5.5 Supported LATEX Commands . 9 5.6 Using Custom LATEX Commands . 10 6 Devan¯agar¯ıFonts 10 6.1 Bombay-Style Fonts . 11 6.2 Calcutta-Style Fonts . 11 6.3 Nepali-Style Fonts . 11 6.4 Devan¯agar¯ıPen Fonts . 11 6.5 Default Devan¯agar¯ıFont (LATEX Only) . 12 6.6 PostScript Type 1 . 12 7 Special Topics 12 7.1 Delimiter Scope . 12 7.2 Line Spacing . 13 7.3 Hyphenation . 13 7.4 Captions and Date Formats (LATEX only) . 13 7.5 Customizing the date and captions (LATEX only) . 14 7.6 Using dvnAgrF in Sections and References (LATEX only) . 15 7.7 Devan¯agar¯ıand Arabic Numerals . 15 7.8 Devan¯agar¯ıPage Numbers and Other Counters (LATEX only) . 15 1 7.9 Category Codes . 16 8 Using Devan¯agar¯ıin X E LATEXand luaLATEX 16 8.1 Using Hindi with Polyglossia . 17 9 Using Hindi with babel 18 9.1 Installation . 18 9.2 Usage . 18 9.3 Language attributes . 19 9.3.1 Attribute modernhindi . -
NMHS Fourth Quarterly Report-Jan to Dec 2020
Report National Mission on Himalayan Studies (NMHS) PERFORMA FOR THE QUARTERLY PROGRESS REPORT (Reporting Period from January to March 2020) 1. Project Information Project ID NMHS/2018-19/MG54/05 Project Title Improving capacity and strengthening wildlife conservation for sustainable livelihoods in Kashmir Himalaya Project Proponent Dr. Karthikeyan Vasudevan CSIR-Centre for Cellular and Molecular Biology (CCMB) Laboratory for Conservation of Endangered Species (LaCONES), Attapur Hyderguda, Hyderabad-500048 2. Objectives • To implement programs for the conservation of Hangul (Cervus elaphus hanglu) using assisted reproduction technologies. • To assess the carnivore population (leopards and black bear) using non-invasive DNA based methods by involving the management team and local people • To screen livestock and wild ungulates for diseases and develop protocols for surveillance and monitoring • Provide training to scientists, forest department staff and skills to the local institutions to serve as referral centres for wildlife forensics (both plant and animals) using DNA based technologies 3. General Conditions • The project proponent will train selected scientists from BNHS, SACON, ZSI, WII and WWF under capacity building part. • Training of the state officials from line agencies should also be attempted in consultation with NMHS-PMU, GBPNIHSED. • A report based on baseline data should be submitted by the project proponent in the 1st quarter of the project. • A Certificate should be provided that this work is not the repeat of earlier work (as a mandatory exercise). • The roles and responsibilities of each implementing partners should be delineated properly with their budget. The budget allocations to partners should be done in accordance with the MoEF & CC guidelines (Max. -
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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).