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The Study of Old Documents of Hokkaido and Kuril Ainu
NINJAL International Symposium 2018 Approaches to Endangered Languages in Japan and Northeast Asia, August 6-8 The study of old documents of Hokkaido and Kuril Ainu: Promise and Challenges Tomomi Sato (Hokkaido U) & Anna Bugaeva (TUS/NINJAL) [email protected] [email protected]) Introduction: Ainu • AINU (isolate, North Japan, moribund) • Is the only non-Japonic lang. of Japan. • Major dialect groups : Hokkaido (moribund), Sakhalin (extinct since 1993), Kuril (extinct since the end of XIX). • Was also spoken in Tōhoku till mid XVIII. • Hokkaido Ainu dialects: Southwestern (well documented) Northeastern (less documented) • Is not used in daily conversation since the 1950s. • Ethnical Ainu: 100,000. 2 Fig. 2 Major language families in Northeast Asia (excluding Sinitic) Amuric Mongolic Tungusic Ainuic Koreanic Japonic • Ainu shares only few features with Northeast Asian languages. • Ainu is typologically “more like a morphologically reduced version of a North American language.” (Johanna Nichols p.c.). • This is due to the strongly head-marking character of Ainu (Bugaeva, to appear). Why is it important to study Ainu? • Ainu culture is widely regarded as a direct descendant of the Jōmon culture which was spread in the Japanese archipelago in the Prehistoric time from about 14,000 BC. • Ainu is the only surviving Jōmon language; there had been other Jōmon lgs too: about 300 lgs (Janhunen 2002), cf. 10 lgs (Whitman, p.c.) . • Ainu is likely to be much more typical of what languages were like in Northeast Asia several millennia ago than the picture we would get from Chinese, Japanese or Korean. • Focusing on Ainu can help us understand a period of northeast Asian history when political, cultural and linguistic units were very different to what they have been since the rise of the great historically-attested states of East Asia. -
Doctor's Thesis Studies on Multilingual Information Processing
NAIST-IS-DT9761021 Doctor’s Thesis Studies on Multilingual Information Processing on the Internet Akira Maeda September 18, 2000 Department of Information Systems Graduate School of Information Science Nara Institute of Science and Technology Doctor’s Thesis submitted to Graduate School of Information Science, Nara Institute of Science and Technology in partial fulfillment of the requirements for the degree of DOCTOR of ENGINEERING Akira Maeda Thesis committee: Shunsuke Uemura, Professor Yuji Matsumoto, Professor Minoru Ito, Professor Masatoshi Yoshikawa, Associate Professor Studies on Multilingual Information Processing on the Internet ∗ Akira Maeda Abstract With the increasing popularity of the Internet in various part of the world, the languages used for Web documents are expanded from English to various languages. However, there are many unsolved problems in order to realize an information system which can handle such multilingual documents in a unified manner. From the user’s point of view, three most fundamental text processing functions for the general use of the World Wide Web are display, input, and retrieval of the text. However, for languages such as Japanese, Chinese, and Korean, character fonts and input methods that are necessary for displaying and inputting texts, are not always installed on the client side. From the system’s point of view, one of the most troublesome problems is that, many Web documents do not have meta information of the character coding system and the language used for the document itself, although character coding systems used for Web documents vary according to the language. It may result in troubles such as incorrect display on Web browsers, and inaccurate indexing on Web search engines. -
Consonant Characters and Inherent Vowels
Global Design: Characters, Language, and More Richard Ishida W3C Internationalization Activity Lead Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 1 Getting more information W3C Internationalization Activity http://www.w3.org/International/ Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 2 Outline Character encoding: What's that all about? Characters: What do I need to do? Characters: Using escapes Language: Two types of declaration Language: The new language tag values Text size Navigating to localized pages Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 3 Character encoding Character encoding: What's that all about? Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 4 Character encoding The Enigma Photo by David Blaikie Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 5 Character encoding Berber 4,000 BC Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 6 Character encoding Tifinagh http://www.dailymotion.com/video/x1rh6m_tifinagh_creation Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 7 Character encoding Character set Character set ⴰ ⴱ ⴲ ⴳ ⴴ ⴵ ⴶ ⴷ ⴸ ⴹ ⴺ ⴻ ⴼ ⴽ ⴾ ⴿ ⵀ ⵁ ⵂ ⵃ ⵄ ⵅ ⵆ ⵇ ⵈ ⵉ ⵊ ⵋ ⵌ ⵍ ⵎ ⵏ ⵐ ⵑ ⵒ ⵓ ⵔ ⵕ ⵖ ⵗ ⵘ ⵙ ⵚ ⵛ ⵜ ⵝ ⵞ ⵟ ⵠ ⵢ ⵣ ⵤ ⵥ ⵯ Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 8 Character encoding Coded character set 0 1 2 3 0 1 Coded character set 2 3 4 5 6 7 8 9 33 (hexadecimal) A B 52 (decimal) C D E F Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 9 Character encoding Code pages ASCII Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 10 Character encoding Code pages ISO 8859-1 (Latin 1) Western Europe ç (E7) Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 11 Character encoding Code pages ISO 8859-7 Greek η (E7) Copyright © 2005 W3C (MIT, ERCIM, Keio) slide 12 Character encoding Double-byte characters Standard Country No. -
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. -
A Functional MRI Study on the Japanese Orthographies
Modulation of the Visual Word Retrieval System in Writing: A Functional MRI Study on the Japanese Orthographies Kimihiro Nakamura1, Manabu Honda2, Shigeru Hirano1, Tatsuhide Oga1, Nobukatsu Sawamoto1, Takashi Hanakawa1, Downloaded from http://mitprc.silverchair.com/jocn/article-pdf/14/1/104/1757408/089892902317205366.pdf by guest on 18 May 2021 Hiroshi Inoue3, Jin Ito3, Tetsu Matsuda1, Hidenao Fukuyama1, and Hiroshi Shibasaki1 Abstract & We used functional magnetic resonance imaging (fMRI) to left sensorimotor areas and right cerebellum. The kanji versus examine whether the act of writing involves different neuro- kana comparison showed increased responses in the left psychological mechanisms between the two script systems of prefrontal and anterior cingulate areas. Especially, the lPITC the Japanese language: kanji (ideogram) and kana (phono- showed a significant task-by-script interaction. Two additional gram). The main experiments employed a 2 Â 2 factorial control tasks, repetition (REP) and semantic judgment (SJ), design that comprised writing-to-dictation and visual mental activated the bilateral perisylvian areas, but enhanced the lPITC recall for kanji and kana. For both scripts, the actual writing response only weakly. These results suggest that writing of the produced a widespread fronto-parietal activation in the left ideographic and phonographic scripts, although using the hemisphere. Especially, writing of kanji activated the left largely same cortical regions, each modulates the visual word- posteroinferior temporal cortex (lPITC), whereas that of retrieval system according to their graphic features. Further- kana also yielded a trend of activation in the same area. more, comparisons with two additional tasks indicate that the Mental recall for both scripts activated similarly the left parieto- activity of the lPITC increases especially in expressive language temporal regions including the lPITC. -
Chinese Script Generation Panel Document
Chinese Script Generation Panel Document Proposal for the Generation Panel for the Chinese Script Label Generation Ruleset for the Root Zone 1. General Information Chinese script is the logograms used in the writing of Chinese and some other Asian languages. They are called Hanzi in Chinese, Kanji in Japanese and Hanja in Korean. Since the Hanzi unification in the Qin dynasty (221-207 B.C.), the most important change in the Chinese Hanzi occurred in the middle of the 20th century when more than two thousand Simplified characters were introduced as official forms in Mainland China. As a result, the Chinese language has two writing systems: Simplified Chinese (SC) and Traditional Chinese (TC). Both systems are expressed using different subsets under the Unicode definition of the same Han script. The two writing systems use SC and TC respectively while sharing a large common “unchanged” Hanzi subset that occupies around 60% in contemporary use. The common “unchanged” Hanzi subset enables a simplified Chinese user to understand texts written in traditional Chinese with little difficulty and vice versa. The Hanzi in SC and TC have the same meaning and the same pronunciation and are typical variants. The Japanese kanji were adopted for recording the Japanese language from the 5th century AD. Chinese words borrowed into Japanese could be written with Chinese characters, while Japanese words could be written using the character for a Chinese word of similar meaning. Finally, in Japanese, all three scripts (kanji, and the hiragana and katakana syllabaries) are used as main scripts. The Chinese script spread to Korea together with Buddhism from the 2nd century BC to the 5th century AD. -
Unicode Overview.E
Unicode SAP Systems Unicode@sap NW AS Internationalization SupportedlanguagesinUnicode.doc 09.05.2007 © Copyright 2006 SAP AG. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. Microsoft, Windows, Outlook, and PowerPoint are registered trademarks of Microsoft Corporation. IBM, DB2, DB2 Universal Database, OS/2, Parallel Sysplex, MVS/ESA, AIX, S/390, AS/400, OS/390, OS/400, iSeries, pSeries, xSeries, zSeries, z/OS, AFP, Intelligent Miner, WebSphere, Netfinity, Tivoli, and Informix are trademarks or registered trademarks of IBM Corporation in the United States and/or other countries. Oracle is a registered trademark of Oracle Corporation. UNIX, X/Open, OSF/1, and Motif are registered trademarks of the Open Group. Citrix, ICA, Program Neighborhood, MetaFrame, WinFrame, VideoFrame, and MultiWin are trademarks or registered trademarks of Citrix Systems, Inc. HTML, XML, XHTML and W3C are trademarks or registered trademarks of W3C®, World Wide Web Consortium, Massachusetts Institute of Technology. Java is a registered trademark of Sun Microsystems, Inc. JavaScript is a registered trademark of Sun Microsystems, Inc., used under license for technology invented and implemented by Netscape. MaxDB is a trademark of MySQL AB, Sweden. SAP, R/3, mySAP, mySAP.com, xApps, xApp, SAP NetWeaver and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and in several other countries all over the world. -
Legacy Character Sets & Encodings
Legacy & Not-So-Legacy Character Sets & Encodings Ken Lunde CJKV Type Development Adobe Systems Incorporated bc ftp://ftp.oreilly.com/pub/examples/nutshell/cjkv/unicode/iuc15-tb1-slides.pdf Tutorial Overview dc • What is a character set? What is an encoding? • How are character sets and encodings different? • Legacy character sets. • Non-legacy character sets. • Legacy encodings. • How does Unicode fit it? • Code conversion issues. • Disclaimer: The focus of this tutorial is primarily on Asian (CJKV) issues, which tend to be complex from a character set and encoding standpoint. 15th International Unicode Conference Copyright © 1999 Adobe Systems Incorporated Terminology & Abbreviations dc • GB (China) — Stands for “Guo Biao” (国标 guóbiâo ). — Short for “Guojia Biaozhun” (国家标准 guójiâ biâozhün). — Means “National Standard.” • GB/T (China) — “T” stands for “Tui” (推 tuî ). — Short for “Tuijian” (推荐 tuîjiàn ). — “T” means “Recommended.” • CNS (Taiwan) — 中國國家標準 ( zhôngguó guójiâ biâozhün) in Chinese. — Abbreviation for “Chinese National Standard.” 15th International Unicode Conference Copyright © 1999 Adobe Systems Incorporated Terminology & Abbreviations (Cont’d) dc • GCCS (Hong Kong) — Abbreviation for “Government Chinese Character Set.” • JIS (Japan) — 日本工業規格 ( nihon kôgyô kikaku) in Japanese. — Abbreviation for “Japanese Industrial Standard.” — 〄 • KS (Korea) — 한국 공업 규격 (韓國工業規格 hangug gongeob gyugyeog) in Korean. — Abbreviation for “Korean Standard.” — ㉿ — Designation change from “C” to “X” on August 20, 1997. 15th International Unicode Conference Copyright © 1999 Adobe Systems Incorporated Terminology & Abbreviations (Cont’d) dc • TCVN (Vietnam) — Tiu Chun Vit Nam in Vietnamese. — Means “Vietnamese Standard.” • CJKV — Chinese, Japanese, Korean, and Vietnamese. 15th International Unicode Conference Copyright © 1999 Adobe Systems Incorporated What Is A Character Set? dc • A collection of characters that are intended to be used together to create meaningful text. -
Alphabetization† †† Wendy Korwin*, Haakon Lund** *119 W
Knowl. Org. 46(2019)No.3 209 W. Korwin and H. Lund. Alphabetization Alphabetization† †† Wendy Korwin*, Haakon Lund** *119 W. Dunedin Rd., Columbus, OH 43214, USA, <[email protected]> **University of Copenhagen, Department of Information Studies, DK-2300 Copenhagen S Denmark, <[email protected]> Wendy Korwin received her PhD in American studies from the College of William and Mary in 2017 with a dissertation entitled Material Literacy: Alphabets, Bodies, and Consumer Culture. She has worked as both a librarian and an archivist, and is currently based in Columbus, Ohio, United States. Haakon Lund is Associate Professor at the University of Copenhagen, Department of Information Studies in Denmark. He is educated as a librarian (MLSc) from the Royal School of Library and Information Science, and his research includes research data management, system usability and users, and gaze interaction. He has pre- sented his research at international conferences and published several journal articles. Korwin, Wendy and Haakon Lund. 2019. “Alphabetization.” Knowledge Organization 46(3): 209-222. 62 references. DOI:10.5771/0943-7444-2019-3-209. Abstract: The article provides definitions of alphabetization and related concepts and traces its historical devel- opment and challenges, covering analog as well as digital media. It introduces basic principles as well as standards, norms, and guidelines. The function of alphabetization is considered and related to alternatives such as system- atic arrangement or classification. Received: 18 February 2019; Revised: 15 March 2019; Accepted: 21 March 2019 Keywords: order, orders, lettering, alphabetization, arrangement † Derived from the article of similar title in the ISKO Encyclopedia of Knowledge Organization Version 1.0; published 2019-01-10. -
Basis Technology Unicode対応ライブラリ スペックシート 文字コード その他の名称 Adobe-Standard-Encoding A
Basis Technology Unicode対応ライブラリ スペックシート 文字コード その他の名称 Adobe-Standard-Encoding Adobe-Symbol-Encoding csHPPSMath Adobe-Zapf-Dingbats-Encoding csZapfDingbats Arabic ISO-8859-6, csISOLatinArabic, iso-ir-127, ECMA-114, ASMO-708 ASCII US-ASCII, ANSI_X3.4-1968, iso-ir-6, ANSI_X3.4-1986, ISO646-US, us, IBM367, csASCI big-endian ISO-10646-UCS-2, BigEndian, 68k, PowerPC, Mac, Macintosh Big5 csBig5, cn-big5, x-x-big5 Big5Plus Big5+, csBig5Plus BMP ISO-10646-UCS-2, BMPstring CCSID-1027 csCCSID1027, IBM1027 CCSID-1047 csCCSID1047, IBM1047 CCSID-290 csCCSID290, CCSID290, IBM290 CCSID-300 csCCSID300, CCSID300, IBM300 CCSID-930 csCCSID930, CCSID930, IBM930 CCSID-935 csCCSID935, CCSID935, IBM935 CCSID-937 csCCSID937, CCSID937, IBM937 CCSID-939 csCCSID939, CCSID939, IBM939 CCSID-942 csCCSID942, CCSID942, IBM942 ChineseAutoDetect csChineseAutoDetect: Candidate encodings: GB2312, Big5, GB18030, UTF32:UTF8, UCS2, UTF32 EUC-H, csCNS11643EUC, EUC-TW, TW-EUC, H-EUC, CNS-11643-1992, EUC-H-1992, csCNS11643-1992-EUC, EUC-TW-1992, CNS-11643 TW-EUC-1992, H-EUC-1992 CNS-11643-1986 EUC-H-1986, csCNS11643_1986_EUC, EUC-TW-1986, TW-EUC-1986, H-EUC-1986 CP10000 csCP10000, windows-10000 CP10001 csCP10001, windows-10001 CP10002 csCP10002, windows-10002 CP10003 csCP10003, windows-10003 CP10004 csCP10004, windows-10004 CP10005 csCP10005, windows-10005 CP10006 csCP10006, windows-10006 CP10007 csCP10007, windows-10007 CP10008 csCP10008, windows-10008 CP10010 csCP10010, windows-10010 CP10017 csCP10017, windows-10017 CP10029 csCP10029, windows-10029 CP10079 csCP10079, windows-10079