LAST FIRST EXP Updated As of 8/10/19 Abano Lu 3/1/2020 Abuhadba Iz 1/28/2022 If Athlete's Name Is Not on List Acevedo Jr

Total Page:16

File Type:pdf, Size:1020Kb

LAST FIRST EXP Updated As of 8/10/19 Abano Lu 3/1/2020 Abuhadba Iz 1/28/2022 If Athlete's Name Is Not on List Acevedo Jr LAST FIRST EXP Updated as of 8/10/19 Abano Lu 3/1/2020 Abuhadba Iz 1/28/2022 If athlete's name is not on list Acevedo Jr. Ma 2/27/2020 they will need a medical packet Adams Br 1/17/2021 completed before they can Aguilar Br 12/6/2020 participate in any event. Aguilar-Soto Al 8/7/2020 Alka Ja 9/27/2021 Allgire Ra 6/20/2022 Almeida Br 12/27/2021 Amason Ba 5/19/2022 Amy De 11/8/2019 Anderson Ca 4/17/2021 Anderson Mi 5/1/2021 Ardizone Ga 7/16/2021 Arellano Da 2/8/2021 Arevalo Ju 12/2/2020 Argueta-Reyes Al 3/19/2022 Arnett Be 9/4/2021 Autry Ja 6/24/2021 Badeaux Ra 7/9/2021 Balinski Lu 12/10/2020 Barham Ev 12/6/2019 Barnes Ca 7/16/2020 Battle Is 9/10/2021 Bergen Co 10/11/2021 Bermudez Da 10/16/2020 Biggs Al 2/28/2020 Blanchard-Perez Ke 12/4/2020 Bland Ma 6/3/2020 Blethen An 2/1/2021 Blood Na 11/7/2020 Blue Am 10/10/2021 Bontempo Lo 2/12/2021 Bowman Sk 2/26/2022 Boyd Ka 5/9/2021 Boyd Ty 11/29/2021 Boyzo Mi 8/8/2020 Brach Sa 3/7/2021 Brassard Ce 9/24/2021 Braunstein Ja 10/24/2021 Bright Ca 9/3/2021 Brookins Tr 3/4/2022 Brooks Ju 1/24/2020 Brooks Fa 9/23/2021 Brooks Mc 8/8/2022 Brown Lu 11/25/2021 Browne Em 10/9/2020 Brunson Jo 7/16/2021 Buchanan Tr 6/11/2020 Bullerdick Mi 8/2/2021 Bumpus Ha 1/31/2021 LAST FIRST EXP Updated as of 8/10/19 Burch Co 11/7/2020 Burch Ma 9/9/2021 Butler Ga 5/14/2022 Byers Je 6/14/2021 Cain Me 6/20/2021 Cao Tr 11/19/2020 Carlson Be 5/29/2021 Cerda Da 3/9/2021 Ceruto Ri 2/14/2022 Chang Ia 2/19/2021 Channapati Di 10/31/2021 Chao Et 8/20/2021 Chase Em 8/26/2020 Chavez Fr 6/13/2020 Chavez Vi 11/14/2021 Chidambaram Ga 10/13/2019 Childers Ca 11/15/2021 Chinn Ol 6/27/2021 Clark Em 10/10/2020 Clark Al 12/13/2020 Cloud Gr 8/27/2021 Coccia Ch 7/31/2021 Coccia Da 11/1/2021 Coggin Ja 2/18/2021 Collins Em 9/24/2021 Collison Br 11/11/2021 Conley An 10/22/2021 Contreras Al 1/23/2020 Contreras Gr 9/13/2021 Cook Ja 3/28/2021 Corliss Sk 1/9/2021 Coryer Na 10/26/2019 Coryer Mi 11/10/2019 Costello Sa 1/25/2020 Craigo Ca 1/20/2020 Cronan An 9/20/2020 Cruce Ke 4/1/2022 Cruz Ke 8/25/2020 Cummings Me 6/19/2021 Cummins Co 10/31/2019 Curry Hu 11/5/2019 Daniel Me 8/15/2021 Darke Me 5/16/2022 Davenport Tr 10/8/2021 Davidson Ka 8/29/2021 Deaton Ha 2/18/2022 Debarros Ni 9/12/2021 Dejarnette Da 7/25/2020 DeJarnette Sa 7/25/2020 Delanovic Al 2/5/2022 Demetrovits Cl 4/30/2021 LAST FIRST EXP Updated as of 8/10/19 Desantiago Da 4/2/2020 DeSantiago Cr 9/7/2020 DeVino Da 1/9/2021 Dhemecourt Ma 1/25/2021 Dillingham Kr 7/30/2021 Dinsmore Da 6/24/2021 Dixon Ty 3/6/2020 Do Kh 9/4/2021 Doddapaneni An 5/23/2022 Doerfler II Wa 2/12/2022 Dolani Br 8/22/2021 Donaghy Se 8/8/2021 Donaldson Am 9/17/2020 Donaldson Zo 9/17/2020 Dooley Ta 10/21/2019 Dooley Ma 11/16/2019 Dotson Da 10/2/2020 Duffee Mi 9/6/2021 Dugger Ch 5/3/2020 Dunsmuir La 1/4/2021 Duran Gr 6/13/2021 Durand Be 2/24/2022 DuVal Br 10/22/2020 Egan Li 6/13/2021 Elie Ve 8/4/2021 Elzey Ka 10/25/2019 England An 11/10/2021 Erb Ju 7/21/2022 Erdey Ja 12/19/2020 Eremita Zo 7/2/2021 Evans Na 7/28/2020 Evans Bl 11/14/2020 Fabian An 8/5/2020 Falkman Kr 5/15/2022 Fields Lu 2/3/2022 Fischer Ga 11/27/2021 Fishler Pa 11/13/2021 Fitzpatrick Da 2/28/2022 Flores-Alvarez Pa 6/14/2021 Forbes Tr 12/18/2020 Forester Lu 9/6/2019 Fortune Ja 9/14/2020 Franken Jo 7/22/2020 Friedl Da 7/25/2021 Fultz Ay 9/16/2021 Galloway Ky 7/29/2020 Garcia Jo 9/26/2021 Garcia Na 2/4/2022 Garnace Je 5/16/2021 Gates Jo 10/11/2021 Geiger Ka 7/9/2022 LAST FIRST EXP Updated as of 8/10/19 Gesite El 9/17/2020 Gibbs Ad 6/23/2022 Gilbert Br 9/20/2019 Gladden Re 1/29/2022 Glenn Tr 2/28/2022 Godlewski Ia 3/19/2020 Gomez Ju 9/21/2019 Gomez El 10/28/2021 Gonano Ry 1/22/2022 Gorla La 10/30/2021 Graves Lu 5/6/2021 Gravitt Da 7/4/2020 Greer Da 9/27/2019 Greiner Jo 6/26/2021 Griffith Li 10/1/2021 Guduri Ri 10/8/2021 Guerrero Al 5/9/2020 Gugnin Il 10/11/2019 Gurman Se 3/14/2021 Gutelius Et 12/4/2021 Hackney Ka 10/10/2020 hahn Al 5/29/2022 Haines Bl 7/10/2021 Halderson Ch 2/11/2020 Hall Ca 10/9/2019 Hall Dy 3/28/2020 Hall Sa 8/14/2020 Hall Co 12/11/2020 Ham-Kucharski Al 8/9/2022 Hardy Sa 2/29/2020 Hardy Wa 11/15/2020 Hargraves Ch 3/2/2020 Harmon Su 7/26/2021 Harper Ha 1/24/2020 Harper Is 3/18/2020 Harrell Ky 11/30/2019 Harris Ty 6/19/2020 Harris Be 1/6/2022 Harter Je 10/10/2019 Hasfjord Br 6/17/2020 Haulbrook Ja 9/25/2020 Hendrickson Ma 1/7/2022 Hermance Sa 7/11/2022 Hernandez Na 11/9/2020 Hernandez Is 3/4/2021 Hernandez En 9/23/2021 Hernandez Mi 11/13/2021 Hernandez-Vazquez Ke 10/29/2020 Hesse Jo 1/29/2020 Hester Da 5/3/2020 Hicks Ro 5/15/2020 LAST FIRST EXP Updated as of 8/10/19 Higgins Se 12/4/2019 Hobbs Ca 10/1/2021 Hoffman Er 1/22/2022 Holland Mi 6/6/2021 Holtz-Morton He 6/24/2022 Hooper Na 9/14/2019 Howell Ja 9/25/2020 Howell Ju 9/25/2020 Hughes Am 3/26/2020 Hulett Jo 6/21/2020 Hutchinson Ja 10/18/2020 Hwang Ye 10/23/2019 Ilse Jo 6/7/2020 Immanuel Je 9/16/2021 Indurti Ri 5/9/2020 Ineza Sh 10/22/2021 Ivie Ky 11/15/2021 Jackson Ai 9/27/2021 Jain As 3/11/2021 Jakob Fe 4/30/2022 Jang Da 6/12/2021 Jasso-Cortes Ju 4/18/2021 Jena Ri 6/5/2020 Jimenez An 4/25/2021 Jimenez An 10/24/2021 Jinks Ma 11/21/2020 Joe St 10/22/2020 Johannesson Ca 8/2/2021 Johnson Re 1/3/2021 Johnson-Pierson Ro 3/27/2020 Johnson-Pierson Vi 3/27/2020 Jolly Mi 9/9/2021 Jones Ta 6/20/2021 Jones Ca 8/29/2021 Julian Ab 8/9/2021 Kaithi Ro 2/16/2020 Kamp Ai 5/5/2022 Kashiviswahathan Ra 9/29/2019 Keeton Bl 4/11/2020 Kerr Ch 8/28/2020 Kessler Sa 7/3/2020 Kessler Be 7/12/2021 Ketumalla Ar 8/19/2021 Keyman Be 10/23/2021 Khurana In 10/11/2021 Kilgus Ga 2/28/2021 Kindig Ko 7/26/2020 King Ca 1/30/2020 King Ch 6/6/2020 Kirby Jo 6/20/2020 Kleeman Pa 10/23/2020 LAST FIRST EXP Updated as of 8/10/19 Koch Me 2/28/2022 Krsulic No 12/26/2019 Krumholtz Je 5/17/2020 Kuester Ma 10/2/2021 Kumar Ad 10/8/2021 Kunthu An 3/2/2020 Lamb Ja 1/22/2022 Lambert Ma 11/21/2019 Lang Ma 2/18/2022 Lange La 6/21/2021 Langston Em 3/26/2020 Latour Ja 3/14/2020 Lawrence Ca 3/8/2021 League Jo 2/27/2020 Leitch Co 10/15/2020 Lennen Ja 8/19/2020 Lewis An 6/10/2020 Loesch Ja 10/28/2021 Logan Se 8/28/2021 Lomax La 8/9/2021 Lombardo Ol 4/16/2022 Longmire Sa 3/27/2022 Lott Sh 10/8/2021 Lunsford Be 6/3/2021 MacArthur Me 1/4/2021 Machado En 12/11/2020 Maddox Ye 10/22/2021 Maddux La 8/29/2020 Madsen Ni 6/2/2022 Maitra Sr 2/19/2021 Majeed La 9/27/2021 Mancini Se 7/1/2020 Maramraju Kr 10/24/2021 Markham Al 6/25/2020 Martin Ev 1/11/2020 Martin Ca 2/20/2021 Martin Br 3/13/2021 Martin Ca 10/2/2021 Martinez Gu 11/9/2019 Mason Jo 10/1/2021 Mathis Le 2/19/2020 Matthews Ke 7/8/2020 Maturi Sa 8/24/2020 Mauldin Ma 6/7/2021 McBrayer Ja 7/29/2022 McCarthy Mi 8/22/2020 McGee Br 8/1/2020 McKenna Er 9/30/2021 McMahon Mi 8/26/2021 McTureous Sk 1/21/2022 Medina Du 10/24/2020 LAST FIRST EXP Updated as of 8/10/19 Meka Sa 1/22/2021 Melendez Ja 12/13/2020 Melone Ma 10/15/2020 Merchenthaler Is 2/27/2022 Merritt Al 6/20/2022 Meyyappan An 10/20/2019 Middleton Me 3/31/2022 Miller Ev 5/13/2020 Miller Ca 8/23/2020 Miller Pa 2/5/2021 Miller Ma 6/14/2021 Miller Ro 10/28/2021 Mitchell Ke 12/27/2020 Monroe Ma 3/20/2022 Monroe Di 3/25/2022 Montoya-Acosta Ni 11/2/2019 Mooney Ca 11/17/2020 Moore Jo 8/6/2020 Morales Jo 3/29/2021 Morataya Ro 1/31/2021 Moreno Ga 3/8/2020 Mulligan Ma 6/11/2020 Murali Ha 10/25/2019 Murberger Ky 9/12/2021 Murray Ti 2/10/2022 Murtha Wi 8/26/2021 Murukuntla Na 11/13/2021 Musembi La 7/26/2020 Myers Br 1/30/2022 Nakkerty Pr 11/30/2020 Nalam Ab 7/31/2020 Nalla Ha 11/8/2021 Namowicz Ma 12/20/2019 Nazarowski Ju 5/9/2022 Nelson Ri 9/11/2019 Nguyen Ki 11/28/2019 Nichols Ri 8/12/2021 Nieman Jo 10/8/2020 Niemczyk Co 2/18/2022 Noles Ri 11/18/2021 Nowakowski Ad 11/7/2019 Nowell Er 11/14/2021 O'Donnell Br 7/15/2021 O'Leary Ca 6/17/2020 O'Neal Er 12/5/2020 Owen Je 7/18/2021 Pantoja Em 3/19/2022 Pappu Ag 1/14/2022 Paquet Co 2/4/2022 Park Jo 7/8/2022 Patrick La 8/9/2020 LAST FIRST EXP Updated as of 8/10/19 Paturi Jo 10/29/2020 Pavlov Jo 3/20/2021 Payne Ch 11/20/2019 Pena Va 10/22/2021 Pendem Aa 12/20/2021 Penton Ha 3/13/2022 Peters Jo 9/14/2019 Phillips Br 6/15/2020 Porter Je 2/23/2020 Powell Ro 9/18/2021 Prabakar Pr 2/26/2021 Pradarits Jo 12/18/2021 Proctor Hi 1/23/2020 Punati As 8/12/2021 Punyasamudram Je 10/17/2020 Raccuglia Al 8/29/2021 Radford Re 3/13/2022 Radi Ch 4/18/2020 Rahman Sa 4/26/2020 Ramirez Es 3/6/2022 Ranta Al 9/10/2020 Raunikar Ro 10/3/2021 Raygor Br 10/7/2021 Reindl Be 3/13/2020 Reineke Th 10/22/2020 Remizovoc Ek 10/6/2019 Resnick Ja 1/14/2021 Rice Ma 6/16/2020 Rider An 2/3/2022 Ritter Ni 10/24/2021 Rivera He 10/9/2020 Rivera Br 10/28/2021 Roach Co 9/9/2021 Robinson Wi 8/8/2020 Robinson-Davis Co 12/5/2020 Robison No 9/14/2021 Rodriguez Is 8/27/2021 Rogers Jo 10/20/2019 Rohlen Ch 8/8/2021 Romero Ra 11/13/2020 Romo Do 3/4/2020 Ross Ja 8/7/2022 Ruiz-Chavez An 10/29/2021 Russell Jr.
Recommended publications
  • A Practical Sanskrit Introductory
    A Practical Sanskrit Intro ductory This print le is available from ftpftpnacaczawiknersktintropsjan Preface This course of fteen lessons is intended to lift the Englishsp eaking studentwho knows nothing of Sanskrit to the level where he can intelligently apply Monier DhatuPat ha Williams dictionary and the to the study of the scriptures The rst ve lessons cover the pronunciation of the basic Sanskrit alphab et Devanagar together with its written form in b oth and transliterated Roman ash cards are included as an aid The notes on pronunciation are largely descriptive based on mouth p osition and eort with similar English Received Pronunciation sounds oered where p ossible The next four lessons describ e vowel emb ellishments to the consonants the principles of conjunct consonants Devanagar and additions to and variations in the alphab et Lessons ten and sandhi eleven present in grid form and explain their principles in sound The next three lessons p enetrate MonierWilliams dictionary through its four levels of alphab etical order and suggest strategies for nding dicult words The artha DhatuPat ha last lesson shows the extraction of the from the and the application of this and the dictionary to the study of the scriptures In addition to the primary course the rst eleven lessons include a B section whichintro duces the student to the principles of sentence structure in this fully inected language Six declension paradigms and class conjugation in the present tense are used with a minimal vo cabulary of nineteen words In the B part of
    [Show full text]
  • Review of Research
    Review Of ReseaRch impact factOR : 5.7631(Uif) UGc appROved JOURnal nO. 48514 issn: 2249-894X vOlUme - 8 | issUe - 7 | apRil - 2019 __________________________________________________________________________________________________________________________ AN ANALYSIS OF CURRENT TRENDS FOR SANSKRIT AS A COMPUTER PROGRAMMING LANGUAGE Manish Tiwari1 and S. Snehlata2 1Department of Computer Science and Application, St. Aloysius College, Jabalpur. 2Student, Deparment of Computer Science and Application, St. Aloysius College, Jabalpur. ABSTRACT : Sanskrit is said to be one of the systematic language with few exception and clear rules discretion.The discussion is continued from last thirtythat language could be one of best option for computers.Sanskrit is logical and clear about its grammatical and phonetically laws, which are not amended from thousands of years. Entire Sanskrit grammar is based on only fourteen sutras called Maheshwar (Siva) sutra, Trimuni (Panini, Katyayan and Patanjali) are responsible for creation,explainable and exploration of these grammar laws.Computer as machine,requires such language to perform better and faster with less programming.Sanskrit can play important role make computer programming language flexible, logical and compact. This paper is focused on analysis of current status of research done on Sanskrit as a programming languagefor .These will the help us to knowopportunity, scope and challenges. KEYWORDS : Artificial intelligence, Natural language processing, Sanskrit, Computer, Vibhakti, Programming language.
    [Show full text]
  • 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.
    [Show full text]
  • 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 [ ].
    [Show full text]
  • The Kharoṣṭhī Documents from Niya and Their Contribution to Gāndhārī Studies
    The Kharoṣṭhī Documents from Niya and Their Contribution to Gāndhārī Studies Stefan Baums University of Munich [email protected] Niya Document 511 recto 1. viśu͚dha‐cakṣ̄u bhavati tathāgatānaṃ bhavatu prabhasvara hiterṣina viśu͚dha‐gātra sukhumāla jināna pūjā suchavi paramārtha‐darśana 4 ciraṃ ca āyu labhati anālpakaṃ 5. pratyeka‐budha ca karoṃti yo s̄ātravivegam āśṛta ganuktamasya 1 ekābhirāma giri‐kaṃtarālaya 2. na tasya gaṃḍa piṭakā svakartha‐yukta śamathe bhavaṃti gune rata śilipataṃ tatra vicārcikaṃ teṣaṃ pi pūjā bhavatu [v]ā svayaṃbhu[na] 4 1 suci sugaṃdha labhati sa āśraya 6. koḍinya‐gotra prathamana karoṃti yo s̄ātraśrāvaka {?} ganuktamasya 2 teṣaṃ ca yo āsi subha͚dra pac̄ima 3. viśāla‐netra bhavati etasmi abhyaṃdare ye prabhasvara atīta suvarna‐gātra abhirūpa jinorasa te pi bhavaṃtu darśani pujita 4 2 samaṃ ca pādo utarā7. imasmi dāna gana‐rāya prasaṃṭ́hita u͚tama karoṃti yo s̄ātra sthaira c̄a madhya navaka ganuktamasya 3 c̄a bhikṣ̄u m It might be going to far to say that Torwali is the direct lineal descendant of the Niya Prakrit, but there is no doubt that out of all the modern languages it shows the closest resemblance to it. [...] that area around Peshawar, where [...] there is most reason to believe was the original home of Niya Prakrit. That conclusion, which was reached for other reasons, is thus confirmed by the distribution of the modern dialects. (Burrow 1936) Under this name I propose to include those inscriptions of Aśoka which are recorded at Shahbazgaṛhi and Mansehra in the Kharoṣṭhī script, the vehicle for the remains of much of this dialect. To be included also are the following sources: the Buddhist literary text, the Dharmapada found in Khotan, written likewise in Kharoṣṭhī [...]; the Kharoṣṭhī documents on wood, leather, and silk from Caḍ́ota (the Niya site) on the border of the ancient kingdom of Khotan, which represented the official language of the capital Krorayina [...].
    [Show full text]
  • 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
    [Show full text]
  • Implementation of Sanskrit Linguistics in Artificial Intelligence Programming
    ISSN: 2456 - 3935 International Journal of Advances in Computer and Electronics Engineering Volume: 02 Issue: 02, February 2017, pp. 17 – 27 Implementation of Sanskrit Linguistics in Artificial Intelligence Programming Neetesh Vashishtha UG Scholar, Department of Computer Science Engineering, Jaipur Engineering College and Research Center, India Email: [email protected] Abstract: This research paper is directed towards examining the extent to which the Sanskrit language can be implemented in programming, principally in the domain of Artificial Intelligence. This paper can be divided into three major sections. The first section explains the significance of Sanskrit over other languages. The second section explores that if it’s actually beneficial to program in Sanskrit rather than English. The third section includes coding of two identical AI programs, one made to interact in English and the other in Sanskrit. They are analyzed separately and then compared collectively to seek for the advantages the Sanskrit linguistics offer in Artificial Intelligence programming. We then conclude that Sanskrit, when used for communicating with the AI machines, is remarkable with an astounding versatility and brilliant learning abilities for an AI. The Sanskrit being strict and bundled, results in a compact and unambiguous form of conversations with the AI programs. Keyword: Artificial Intelligence; Deep Learning; Java; Language linguistics; Machine Learning; Sanskrit 1. INTRODUCTION The primary objective of this paper is to present The number of possible incorrect sentences are- the possibility of adopting Sanskrit as a means of 5! – 1 = 120-1 communication with the artificial intelligence. The = 119 permutations paper also aims to extend this proposal with pro- gramming the AI in Sanskrit Linguistics.
    [Show full text]
  • Edatlas: an Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts
    edATLAS: An Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts Sourav Ghosh, Sourabh Vasant Gothe, Chandramouli Sanchi, Barath Raj Kandur Raja Samsung R&D Institute Bangalore, Karnataka, India 560037 Email: { sourav.ghosh, sourab.gothe, cm.sanchi, barathraj.kr }@samsung.com Abstract—Abugida refers to a phonogram writing system where each syllable is represented using a single consonant or typographic ligature, along with a default vowel or optional diacritic(s) to denote other vowels. However, texting in these languages has some unique challenges in spite of the advent of devices with soft keyboard supporting custom key layouts. The number of characters in these languages is large enough to require characters to be spread over multiple views in the layout. Having to switch between views many times to type a single word hinders the natural thought process. This prevents popular usage of native keyboard layouts. On the other hand, supporting romanized scripts (native words transcribed using Latin characters) with language model based suggestions is also set back by the lack of uniform romanization rules. (a) (b) To this end, we propose a disambiguation algorithm and showcase its usefulness in two novel mutually non-exclusive Fig. 1: Application of edATLAS in (a) ambiguous input for input methods for languages natively using the abugida writing abugida scripts, and (b) word variants for romanized scripts system: (a) disambiguation of ambiguous input for abugida scripts, and (b) disambiguation of word variants in romanized scripts. We benchmark these approaches using public datasets, and show an improvement in typing speed by 19:49%, 25:13%, who prefer transliteration layouts [4] by a very large margin, 14:89 and %, in Hindi, Bengali, and Thai, respectively, using as seen in Figure 2.
    [Show full text]
  • Sanskrit As a Programming Language: Possibilities & Difficulties Vipin Mishra
    IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 4, April 2015. www.ijiset.com ISSN 2348 – 7968 Sanskrit as a Programming Language: Possibilities & Difficulties Vipin Mishra Abstract In the past twenty years, much time, effort, and money has been expended on designing an unambiguous representation of natural languages to make them accessible to computer processing. These efforts have centered on creating schemata designed to parallel logical relations with relations expressed by the syntax and semantics of natural languages, which are clearly cumbersome and ambiguous in their function as vehicles for the transmission of logical data. Understandably, there is a widespread belief that natural languages are unsuitable for the transmission of many ideas that artificial languages can render with great precision and mathematical rigor. But this dichotomy, which has served as a premise underlying much work in the areas of linguistics and artificial intelligence, is a false one. There is at least one language, Sanskrit, which for the duration of almost 1,000 years was a living spoken language with a considerable literature of its own. Besides works of literary value, there was a long philosophical and grammatical tradition that has continued to exist with undiminished vigor until the present century. Among the accomplishments of the grammarians can be reckoned a method for paraphrasing Sanskrit in a manner that is identical not only in essence but in form with current work in Artificial Intelligence. This article demonstrates that a natural language can serve as an artificial language also, and that much work in AI has been reinventing a wheel millennia old.
    [Show full text]
  • Dual Script E2E Framework for Multilingual and Code-Switching ASR
    Dual Script E2E Framework for Multilingual and Code-Switching ASR Mari Ganesh Kumar, Jom Kuriakose, Anand Thyagachandran, Arun Kumar A*, Ashish Seth*, Lodagala V S V Durga Prasad*, Saish Jaiswal*, Anusha Prakash, and Hema A Murthy Indian Institute of Technology Madras [email protected] (MGK), [email protected] (JK), [email protected] (AP), [email protected] (HAM) Abstract have different written scripts, they share a common phonetic base. Inspired by this, a common label set for 13 Indian lan- India is home to multiple languages, and training automatic guages was developed for TTS synthesis [6]. In [7], a rule-based speech recognition (ASR) systems is challenging. Over time, unified parser for 13 Indian languages was proposed to convert each language has adopted words from other languages, such grapheme-based Indian language text to phoneme-based CLS. as English, leading to code-mixing. Most Indian languages also CLS has shown to be successful for TTS systems developed us- have their own unique scripts, which poses a major limitation in ing both hidden Markov model (HMM) based approaches [6], training multilingual and code-switching ASR systems. and recent end-to-end frameworks [4, 5]. For training multilin- Inspired by results in text-to-speech synthesis, in this paper, gual ASR systems, recent studies use transliterated text pooled we use an in-house rule-based phoneme-level common label set across various languages [8, 9]. In the context of multilingual (CLS) representation to train multilingual and code-switching ASR systems for Indian languages, [10] used a simple character ASR for Indian languages.
    [Show full text]
  • 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.
    [Show full text]
  • Transliteration of <Script Name>
    Transliteration of Bengali, Assamese & Manipuri 1/5 BENGALI, ASSAMESE & MANIPURI Script: Bengali* ISO 15919 UN ALA-LC 2001(1.0) 1977(2.0) 1997(3.0) Vowels অ ◌ a a a আ ◌া ā ā ā ই ি◌ i i i ঈ ◌ী ī ī ī উ ◌ু u u u ঊ ◌ূ ū ū ū ঋ ◌ৃ r̥ ṛ r̥ ৠ ◌ৄ r̥̄ — r̥̄ ঌ ◌ৢ l̥ — l̥ ৡ ◌ৣ A l̥ ̄ — — এ ে◌ e(1.1) e e ঐ ৈ◌ ai ai ai ও ে◌া o(1.1) o o ঔ ে◌ৗ au au au অ�া a:yā — — Nasalizations ◌ং anunāsika ṁ(1.2) ṁ ṃ ◌ঁ candrabindu m̐ (1.2) m̐ n̐, m̐ (3.1) Miscellaneous ◌ঃ bisarga ḥ ḥ ḥ ◌্ hasanta vowelless vowelless vowelless (1.3) ঽ abagraha Ⓑ :’ — ’ ৺ isshara — — — Consonants ক ka ka ka খ kha kha kha গ ga ga ga ঘ gha gha gha ঙ ṅa ṅa ṅa চ ca cha ca ছ cha chha cha জ ja ja ja ঝ jha jha jha ঞ ña ña ña ট ṭa ṭa ṭa ঠ ṭha ṭha ṭha ড ḍa ḍa ḍa ঢ ḍha ḍha ḍha ণ ṇa ṇa ṇa ত ta ta ta Thomas T. Pedersen – transliteration.eki.ee Rev. 2, 2005-07-21 Transliteration of Bengali, Assamese & Manipuri 2/5 ISO 15919 UN ALA-LC 2001(1.0) 1977(2.0) 1997(3.0) থ tha tha tha দ da da da ধ dha dha dha ন na na na প pa pa pa ফ pha pha pha ব ba ba ba(3.2) ভ bha bha bha ম ma ma ma য ya ja̱ ya র ⒷⓂ ra ra ra ৰ Ⓐ ra ra ra ল la la la ৱ ⒶⓂ va va wa শ śa sha śa ষ ṣa ṣha sha স sa sa sa হ ha ha ha ড় ṛa ṙa ṛa ঢ় ṛha ṙha ṛha য় ẏa ya ẏa জ় za — — ব় wa — — ক় Ⓑ qa — — খ় Ⓑ k̲h̲a — — গ় Ⓑ ġa — — ফ় Ⓑ fa — — Adscript consonants ◌� ya-phala -ya(1.4) -ya ẏa ৎ khanda-ta -t -t ṯa ◌� repha r- r- r- ◌� baphala -b -b -b ◌� raphala -r -r -r Vowel ligatures (conjuncts)C � gu � ru � rū � Ⓐ ru � rū � śu � hr̥ � hu � tru � trū � ntu � lgu Thomas T.
    [Show full text]