Suche 6:English - KWiC Concordance

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Dokument 1, 2.628 Worte, 18.046 Bytes, 4 Zitate :
"seaman.html,"

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seaman.html
http://www.arl.org/symp3/seaman.html
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Suchtext 1, "kwic", Zitate: 1

search window in the upper left-w hand corner of the screen includes a record of one's past searches, a Key Word In Context (KWIC) concordance of the results (with SGML tags visible), and -- in the column headed "Components" -- a list of the categories that are marked with SGML tags

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Suchtext 2, "concordance*", Zitate: 2

window in the upper left-w hand corner of the screen includes a record of one's past searches, a Key Word In Context (KWIC) concordance of the results (with SGML tags visible), and -- in the column headed "Components" -- a list of the categories that are marked with SGML tags and

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printed text into computer-readable forms or produce digitized images, CD-ROM drives, large color monitors, and text-analysis software that can generate indices, collations, concordances, word-lists, statistical analyses, and hypertexts. Image-viewing software allows one to work with color and grayscale digital images alongside the searchable databases. Figure 2

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Dokument 2, 263 Worte, 4.934 Bytes, 7 Zitate :
"Sources of Corups Data,"

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Sources of Corups Data
http://www.lb.u-tokai.ac.jp/lcorpus/resource/source-j.html
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Suchtext 1, "kwic", Zitate: 3

Resources Lyrics and Music Archives Spoken Corpus WebGrep for NSEC94 -- A 100KB spoken corpus consisting of a 90-minute conversation by Americans. You can retrieve KWIC lines by entering a keyword. A service provided by Masatoshi Sugiura (Nagoya University) Online Condordancing Kwic On AltaVista -- by Sato Hiroaki WebGrep for NSEC9 4

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a 90-minute conversation by Americans. You can retrieve KWIC lines by entering a keyword. A service provided by Masatoshi Sugiura (Nagoya University) Online Condordancing Kwic On AltaVista -- by Sato Hiroaki WebGrep for NSEC9 4 contains 90-minute dialogue (100KB) of two Americans. You can retrieve lin es by entering a

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project by Masatoshi Sugiura (Nagoya University). Public Domain Modern English Search from the University of Michigan Concordances of Great Books -- Fully Searchable Word Indexes AltaVista KWIC -- Sato Hiroaki English Phrase Collection -- Menu in Japanese Back to: CEJL Home Page

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can retrieve lin es by entering a keyword. A project by Masatoshi Sugiura (Nagoya University). Public Domain Modern English Search from the University of Michigan Concordances of Great Books -- Fully Searchable Word Indexes AltaVista KWIC -- Sato Hiroaki English Phrase Collection -- Menu in Japanese Back to: CEJL Home Page

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Dokument 3, 156 Worte, 2.154 Bytes, 11 Zitate :
"KWIC,"

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KWIC
http://dis.shef.ac.uk/mark/resource/resources/Kwic/
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KWIC KWIC The Perl script below (adapted from Dan Malamed's 2kwic.pl) will produce kwic concordances on a match, but a) will not detect multiple

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KWIC KWIC The Perl script below (adapted from Dan Malamed's 2kwic.pl) will produce kwic concordances on a match, but a) will not detect multiple occurrencences

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KWIC KWIC The Perl script below (adapted from Dan Malamed's 2kwic.pl) will produce kwic concordances on a match, but a) will not detect multiple occurrencences on a line, b) nor find complex patterns across several lines. Can someone suggest

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a) will not detect multiple occurrencences on a line, b) nor find complex patterns across several lines. Can someone suggest other ways of writing simple kwic programs in Perl? Should I split into an array, use Perl's format, etc? All suggestions are welcome. Christer Geisler, post-graduate fellow #---------------------------------------------------- #!/usr/bin/

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Perl's format, etc? All suggestions are welcome. Christer Geisler, post-graduate fellow #---------------------------------------------------- #!/usr/bin/perl # #check for correct usage if ($#ARGV < 2) { print "usage: kwic <filename1> \t\t<string1> \t\t<max. total output width>\n"; exit; }; open(F, $ARGV[0]) || die "Couldn't open $ARGV[0]: $!\n"; shift; $str1

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Suchtext 2, "concordance*", Zitate: 1

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Dokument 4, 1.034 Worte, 21.035 Bytes, 7 Zitate :
"ROCLING WWW,"

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ROCLING WWW
http://atm.bdc.com.tw/%7Erocling/
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Speech Recognition Corpus FFMTIMIT: Acoustic-Phonetic Continuous Speech Corpus Far Field Microphone Recordings Parallel Text Corpora English French Bilingual Hansard WHO and Hansard Shareware Announcements KWIC/Concordance Tools Corpus Wizrad for Win16/Win32 (KWIC) from NED30616@pcvan.or.jp MonoConc for Windows (Concordance) from Michael Barlow Japanese Concordance (for Windows): info

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Corpus Far Field Microphone Recordings Parallel Text Corpora English French Bilingual Hansard WHO and Hansard Shareware Announcements KWIC/Concordance Tools Corpus Wizrad for Win16/Win32 (KWIC) from NED30616@pcvan.or.jp MonoConc for Windows (Concordance) from Michael Barlow Japanese Concordance (for Windows): info in [ Big5 (with ETen Kana Chars) | ISO-2022-

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Recognition Corpus FFMTIMIT: Acoustic-Phonetic Continuous Speech Corpus Far Field Microphone Recordings Parallel Text Corpora English French Bilingual Hansard WHO and Hansard Shareware Announcements KWIC/Concordance Tools Corpus Wizrad for Win16/Win32 (KWIC) from NED30616@pcvan.or.jp MonoConc for Windows (Concordance) from Michael Barlow Japanese Concordance (for Windows): info in

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French Bilingual Hansard WHO and Hansard Shareware Announcements KWIC/Concordance Tools Corpus Wizrad for Win16/Win32 (KWIC) from NED30616@pcvan.or.jp MonoConc for Windows (Concordance) from Michael Barlow Japanese Concordance (for Windows): info in [ Big5 (with ETen Kana Chars) | ISO-2022-JP ] from Takashi Dictionaries List of Dictionaries WordNet Home

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Hansard Shareware Announcements KWIC/Concordance Tools Corpus Wizrad for Win16/Win32 (KWIC) from NED30616@pcvan.or.jp MonoConc for Windows (Concordance) from Michael Barlow Japanese Concordance (for Windows): info in [ Big5 (with ETen Kana Chars) | ISO-2022-JP ] from Takashi Dictionaries List of Dictionaries WordNet Home Page and Databases (Cognitive Science

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Dokument 5, 555 Worte, 51.960 Bytes, 5 Zitate :
"Amazon.com Books Search Results,"

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Amazon.com Books Search Results
http://www.amazon-electronic.com/exec/obidos/Author%3DColeman%2C%2520Samuel/
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Work Head-Word and Rhyme-Word Concordances to His Poetry by Clifton Hall, Samuel Coleman (Hardcover - January 1995) Special Order Our Price: $140.00 15. Kwic Concordance to John Cleland's Memoirs of a Woman of Pleasure (Garland Reference Library of the Humanities, Vol 829) by Samuel S. Coleman, Michael J.

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Suchtext 2, "concordance*", Zitate: 3

and the Structure of Society by James Samuel, Coleman Out of Print--Try our out-of-print search service! 8. Head-Word and Rhyme-Word Concordances to Des Minnesangs Fruhling : A Complete Reference Work by Clifton D. Hall, Samuel Coleman (Hardcover - September 1997) Special Order Our Price: $140.00 9. The

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Coleman Out of Print--Try our out-of-print search service! 14. Walther Von Der Vogelweide : A Complete Reference Work Head-Word and Rhyme-Word Concordances to His Poetry by Clifton Hall, Samuel Coleman (Hardcover - January 1995) Special Order Our Price: $140.00 15. Kwic Concordance to John Cleland's Memoirs

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Head-Word and Rhyme-Word Concordances to His Poetry by Clifton Hall, Samuel Coleman (Hardcover - January 1995) Special Order Our Price: $140.00 15. Kwic Concordance to John Cleland's Memoirs of a Woman of Pleasure (Garland Reference Library of the Humanities, Vol 829) by Samuel S. Coleman, Michael J. Preston

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Dokument 6, 231 Worte, 6.364 Bytes, 3 Zitate :
"Yahoo! Society and Culture>Religion and Spirituality>Texts,"

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Yahoo! Society and Culture>Religion and Spirituality>Texts
http://sg.dir.yahoo.com/Society_and_Culture/Religion_and_Spirituality/Texts/
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and Thomas Paine. Complete works of Robert G. Ingersoll. True Seeker - will allow you to search the Bahá'í writings using a KeyWord In Context (KWIC) search. World Scripture - comparative anthology of themes in sacred texts by Dr. Andrew Wilson. Copyright © 2001 Yahoo! Inc. - Company Information - Suggest a Site - FAQ

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religion. Bahá'í Academics Resource Library - extensive collection of Bahá'í texts. Bahá'í Writings - works of The Báb, Bahá'u'lláh, and other authors. Concordances of Scriptures - full text and word search for the Bible, Apocrypha, Koran, Bhagavad-Gita, Tao Te Chung, and others. Internet Sacred Text Archive - archive of

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Dokument 7, 3.347 Worte, 30.525 Bytes, 4 Zitate :
"AIATSIS - ASEDA catalogue,"

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AIATSIS - ASEDA catalogue
http://coombs.anu.edu.au/SpecialProj/ASEDA/T_3.htm
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Suchtext 1, "kwic", Zitate: 1

of a word. In many fields of study such a list is called a concordance. It is also similar to a key word in context (kwic) index, except that the index does not have to be restricted to particular words. [Software: 18 files, 603 kB] Open 384 English vocabulary Antworth, Evan;

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third file. [Software: 1 file, 18 kB] Open 308 XRef 0.1b Prepares both a copy of a text file with line numbers, and a concordance list of words in the file. [Software: 1 file, 9 kB] Open 309 Evolutions A utility program that will convert series of spaces in a

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a short section of the context preceding and following each occurrence of a word. In many fields of study such a list is called a concordance. It is also similar to a key word in context (kwic) index, except that the index does not have to be restricted to particular words.

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Dokument 8, 14.022 Worte, 125.902 Bytes, 4 Zitate :
"Petronian Society Newsletter Vol 28.1&2,"

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Petronian Society Newsletter Vol 28.1&2
http://chss2.montclair.edu/classics/Petronius/PSN98.html
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of fragments appearing in Stephens/Winkler but not used in earlier volumes. The completion of this critical project, added thus to the mechanical TLG microfiche KWIC Concordance to the Greek Novelists and to indices or lexica already existing for some texts (A.T., Long., Xen. Eph.) adds considerably to our capacity

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Suchtext 2, "concordance*", Zitate: 2

GCN) Hansen, Harder, Aerts, Carver. Hock, R., Perkins, J., edd., Ancient Fiction and Early Christian Literature, Scholars Press, Society of Biblical Literature, due Spring 1998. CONCORDANCE Beta, S., De Carli, E., Zanetto, G. edd., Lessico dei romanzieri greci IV , Hildesheim/ Zürich/NY 1997. Takes account, in an Appendix, of fragments appearing

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fragments appearing in Stephens/Winkler but not used in earlier volumes. The completion of this critical project, added thus to the mechanical TLG microfiche KWIC Concordance to the Greek Novelists and to indices or lexica already existing for some texts (A.T., Long., Xen. Eph.) adds considerably to our capacity to

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Dokument 9, 3.325 Worte, 32.224 Bytes, 10 Zitate :
"PATDPA,"

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PATDPA
http://www.inf-wiss.uni-konstanz.de/CURR/winter96/infovermitt/PATDPA.html
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in the AB, IN, INC, INO, PA, PAC, PAO, PST, and TI fields. Highlighting must be on during SEARCH in order to use the HIT, KWIC, and OCC display formats. Format | Content | Examples --------|----------------------------------------------|-------------- AB |Abstract |D AB, TI AG |Agent |D AG AGN |Agent Number |D AG AGN AI (1) |Application

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Suchtext 2, "concordance*", Zitate: 4

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Dokument 10, 628 Worte, 5.227 Bytes, 11 Zitate :
"Corpus Research Group: CUE Documentation,"

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Corpus Research Group: CUE Documentation
http://www-clg.bham.ac.uk/CUE/doc.html
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allows for more direct access to a particular subcorpus. You can retrieve information about a corpus with getName(), getSize(), getDesc(), getLabel() and similar functions get KWIC lines for a certain corpus position with getKwic(), or an extended context with getContext() retrieve frequency information of a word in that particular corpus with

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with addCorpus(), addCorpora(), getAvailableCorpora(), setActive() and others retrieval of overall frequency counts with getFreq() for a word and getSize() for the corpus size retrieval of concordance lines via query() Each instance of Cue has its own working set, and you can have multiple instances of it active at any one time.

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method (by way of an Enumeration). It describes a single instance of a word in the data, and you can use it to retrieve a concordance line of this item with getKwic() look at the context with getContext() get a word relative to it with getWord() Stand-alone Classes There are

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way to illustrate how to use an API. Here are some code snippets that show how to use CUE in order to implement a simple concordancer: import java.util.Enumeration; import uk.ac.bham.clg.cue.corpus.Cue; import uk.ac.bham.clg.cue.corpus.Item; import uk.ac.bham.clg.

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ac.bham.clg.cue.corpus.Cue; import uk.ac.bham.clg.cue.corpus.Item; import uk.ac.bham.clg.cue.corpus.query.ParseError; public class Concordancer { private Cue data = null; public Concordancer() { data = new Cue(); // select ALL available corpora data.addCorpora(data.getAvailableCorpora()); System.err.println("corpus size overall is "+data.

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import uk.ac.bham.clg.cue.corpus.Item; import uk.ac.bham.clg.cue.corpus.query.ParseError; public class Concordancer { private Cue data = null; public Concordancer() { data = new Cue(); // select ALL available corpora data.addCorpora(data.getAvailableCorpora()); System.err.println("corpus size overall is "+data.getSize()); } public void printKwic(String queryExpr)

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is "+data.getSize()); } public void printKwic(String queryExpr) { try { Enumeration result = data.query(queryExpr); while(result.hasMoreElements()) { Item instance = (Item)result.nextElement(); // print 70 character concordance line System.out.println(instance.getKwic(70)); } } catch(ParseError e) { System.err.println("Illegal Query Expression: "+e); } } public static void main(String args[]) { Concordancer conc

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character concordance line System.out.println(instance.getKwic(70)); } } catch(ParseError e) { System.err.println("Illegal Query Expression: "+e); } } public static void main(String args[]) { Concordancer conc = new Concordancer(); if(args.length >= 1) conc.printKwic(args[0]); } } This in fact is all you need for a concordancer. You might want to

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System.out.println(instance.getKwic(70)); } } catch(ParseError e) { System.err.println("Illegal Query Expression: "+e); } } public static void main(String args[]) { Concordancer conc = new Concordancer(); if(args.length >= 1) conc.printKwic(args[0]); } } This in fact is all you need for a concordancer. You might want to add better error

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void main(String args[]) { Concordancer conc = new Concordancer(); if(args.length >= 1) conc.printKwic(args[0]); } } This in fact is all you need for a concordancer. You might want to add better error checking and control of the number of lines printed in order to turn it into a usable program.

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Dokument 11, 765 Worte, 15.064 Bytes, 6 Zitate :
"Lincoln/Net: Search All,"

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Lincoln/Net: Search All
http://lincoln.lib.niu.edu/lincolnsearch.html
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same sentence. Note: in proximity searches a space serves as the AND operator. Select a Results Format: A. (Default) Concordance Report (300 characters plus) B. KWIC Report (a single line of text) C. Frequency by Title Please direct comments or queries about this service to ets@lib.uchicago.edu General User

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Default) 4.2 Proximity Searching in the Same Sentence or Paragraph 5. Selecting a Results Format 5.1. Concordance Report (300 characters plus) 5.2. KWIC Report (a single line of text) 5.3. Frequency by Title 5.4. Navigating Documents from Word Searches 6. Getting More Help Database-Specific Searching

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words or fewer exactly in the same sentence. Note: in proximity searches a space serves as the AND operator. Select a Results Format: A. (Default) Concordance Report (300 characters plus) B. KWIC Report (a single line of text) C. Frequency by Title Please direct comments or queries about this service to

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4.1 Single Term and Phrase Search (Default) 4.2 Proximity Searching in the Same Sentence or Paragraph 5. Selecting a Results Format 5.1. Concordance Report (300 characters plus) 5.2. KWIC Report (a single line of text) 5.3. Frequency by Title 5.4. Navigating Documents from Word Searches

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Dokument 12, 313 Worte, 3.326 Bytes, 8 Zitate :
"Intro to concordance,"

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Intro to concordance
http://www.ccer.ggl.ruu.nl/texts/ael/westcar/CONCRDNC/CONC_INT.HTM
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Suchtext 1, "kwic", Zitate: 1

of all occurrences of particular words, and the contexts in which they occur. Such lists are called a concordance, or a 'key word in context' (KWIC) list. Here I have taken the transliteration of Geoff's and made such a list, using the concordance program available from the Summer Institute of

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Intro to concordance | Home | Concordance: Ai , a , w , bp , fm , n , r , hH , xX , sz , Sqk , gt , TdD | Concordance I n the analysis of texts, it is often

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Intro to concordance | Home | Concordance: Ai , a , w , bp , fm , n , r , hH , xX , sz , Sqk , gt , TdD | Concordance I n the analysis of texts, it is often useful to

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Intro to concordance | Home | Concordance: Ai , a , w , bp , fm , n , r , hH , xX , sz , Sqk , gt , TdD | Concordance I n the analysis of texts, it is often useful to have a list of all occurrences of particular words, and the contexts in which

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is often useful to have a list of all occurrences of particular words, and the contexts in which they occur. Such lists are called a concordance, or a 'key word in context' (KWIC) list. Here I have taken the transliteration of Geoff's and made such a list, using the concordance

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concordance, or a 'key word in context' (KWIC) list. Here I have taken the transliteration of Geoff's and made such a list, using the concordance program available from the Summer Institute of Linguistics (see below). The list is rather long, so I have broken it up into sections (see links

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Look it up in the vocabulary (clickable, or general). C omments and criticisms are welcome as I hope to constantly improve this site. Conc . A Concordance Generator for the Macintosh. Version 1.80 John Thomson Copyright © 19891996 John Thomsonand the Summer Institute of Linguistics Academic Computing Department (Conc project) 7500 W.

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Dokument 13, 1.629 Worte, 15.762 Bytes, 17 Zitate :
< Dokument ohne Titel >

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< Dokument ohne Titel >
http://www.lib.uchicago.edu/efts/LINCOLN.new/
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Suchtext 1, "kwic", Zitate: 5

same sentence. Note: in proximity searches a space serves as the AND operator. Select a Results Format: A. (Default) Concordance Report (300 characters plus) B. KWIC Report (a single line of text) C. Frequency by Title For questions or comments concerning the Project please contact: Drew E. VandeCreek, Director, Abraham Lincoln

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the tag END OF REPORT, press your WWW Reload button to retrieve the rest of the results added since you first started viewing results. B. KWIC ("Quick") Report As in a Concordance Report, a KWIC (Key Word in Context) Report indicates the number of texts searched, the terms searched for in

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button to retrieve the rest of the results added since you first started viewing results. B. KWIC ("Quick") Report As in a Concordance Report, a KWIC (Key Word in Context) Report indicates the number of texts searched, the terms searched for in the defined corpus, and the total number of occurrences

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indicates the number of texts searched, the terms searched for in the defined corpus, and the total number of occurrences in the defined corpus. A KWIC Report differs from a Concordance Report in that it limits the context displayed to only some ten words of text for each occurrence. As in

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compared to others' works, you could use this function. Any definable corpus or search can be used in generating this report. Note: Unlike Concordance and KWIC reports, this report does not display text. Return to top of page. For questions or comments concerning the Project please contact: Drew E. VandeCreek, Director,

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words or fewer exactly in the same sentence. Note: in proximity searches a space serves as the AND operator. Select a Results Format: A. (Default) Concordance Report (300 characters plus) B. KWIC Report (a single line of text) C. Frequency by Title For questions or comments concerning the Project please contact:

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g., ï = i) To search regardless of accent use uppercase letters (e.g., to search naïveté regardless of accents type naIvetE ). III. Output Options A. Concordance Reports Concordance reporting is the default output option. This report indicates the number of texts searched, the terms searched for in the defined corpus, and

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i) To search regardless of accent use uppercase letters (e.g., to search naïveté regardless of accents type naIvetE ). III. Output Options A. Concordance Reports Concordance reporting is the default output option. This report indicates the number of texts searched, the terms searched for in the defined corpus, and the total

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your WWW Reload button to retrieve the rest of the results added since you first started viewing results. B. KWIC ("Quick") Report As in a Concordance Report, a KWIC (Key Word in Context) Report indicates the number of texts searched, the terms searched for in the defined corpus, and the total

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searched, the terms searched for in the defined corpus, and the total number of occurrences in the defined corpus. A KWIC Report differs from a Concordance Report in that it limits the context displayed to only some ten words of text for each occurrence. As in a Concordance report, clicking on

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differs from a Concordance Report in that it limits the context displayed to only some ten words of text for each occurrence. As in a Concordance report, clicking on the short citation reference will retrieve full context with initial key word highlighted. In cases where a search finds more than twenty-

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works as compared to others' works, you could use this function. Any definable corpus or search can be used in generating this report. Note: Unlike Concordance and KWIC reports, this report does not display text. Return to top of page. For questions or comments concerning the Project please contact: Drew E.

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Dokument 14, 2.610 Worte, 28.305 Bytes, 4 Zitate :
"Archive Impact,"

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Archive Impact
http://www.archiveimpact.com/glossary.htm
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Suchtext 1, "kwic", Zitate: 1

integrated standard format. The proposed format encapsulates the Digital Imaging Groups Flashpix?s features of independent-resolution, independent size, metadata, and an unambiguous color model. KWIC (KeyWord In Context) is a simple printed index for textual material in which keywords in the text are sorted alphabetically and presented linearly, surrounded by

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link methods), which produce a single layer of clusters, although clusters may overlap (i.e., some items may occur in more than one cluster). (1) Concordance , or inverted list, is a data structure for indexing textual data records by the substantive terms or keywords associated with each record. The inverted list

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access to records in the data set. (1) An index is NOT a list of the all the terms in a data set (See also Concordance). Input (imaging) hardware includes the scanner, monitor/display device, computer network or PC, and storage device. Imaging software comprises capture software that works with the

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Dokument 16, 2.796 Worte, 20.314 Bytes, 22 Zitate :
"Computer Assisted Text Analysis - "Midsummer" Workbook,"

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Computer Assisted Text Analysis - "Midsummer" Workbook
http://tactweb.humanities.mcmaster.ca/tactweb/doc/catahist.htm
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to perform a machine-assisted lemmatization. Most of the earliest use of computers in the humanities involved the production of unlemmatized concordances. Early on the KWIC concordance format was developed. "KWIC" stands for "Keyword in Context", and an typical excerpt is shown below: sceptic (11) [1,47] abstractions. In vain would

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lemmatization. Most of the earliest use of computers in the humanities involved the production of unlemmatized concordances. Early on the KWIC concordance format was developed. "KWIC" stands for "Keyword in Context", and an typical excerpt is shown below: sceptic (11) [1,47] abstractions. In vain would the sceptic make a distinction

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Scottish Philosopher David Hume's Dialogues Concerning Natural Religion ) is listed in alphabetical order. In the excerpt we can see the portion of the entire KWIC concordance beginning with the word form "sceptic", and "sceptical". Each word form, called a headword , is followed by its occurrences . Each occurrence, in turn, is

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headword , is followed by its occurrences . Each occurrence, in turn, is given on a separate line consisting, first, of some "reference information" that helps the KWIC user locate the occurrence in the full text, and then by a brief excerpt that shows the word in its context - hence the name "Keyword

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occurrence in the full text, and then by a brief excerpt that shows the word in its context - hence the name "Keyword in Context", or KWIC. In this example, the reference information is enclosed in square brackets and gives the "part number" that the word occurs in, and a page number

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of dollars. The computer production of a concordance was still a time consuming task. The author recalls assisting one academic who wanted to produce a KWIC concordance of the work of a particular Latin author in the late 1970s. The scholar was able to purchase the text, so she didn't

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Nonetheless, in spite of this problem, a number of interesting and useful applications have appeared which one way or another work around this limitation. The Concordance The first tool of computer-based analysis was the "Concordance" - a tool that was transformed by the computer, but originated in methods that go back

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and useful applications have appeared which one way or another work around this limitation. The Concordance The first tool of computer-based analysis was the "Concordance" - a tool that was transformed by the computer, but originated in methods that go back to the middle ages. The concordance grew out of medieval

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based analysis was the "Concordance" - a tool that was transformed by the computer, but originated in methods that go back to the middle ages. The concordance grew out of medieval biblical scholarship that tried to find parallels between the Old and New Testaments by finding places where the words in the

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that pointed to all (or at least many) occurrences of those words in the different books of the Bible. Thus was started the early thematic concordance, which named the major people, places, things and ideas that appeared in the Bible. Although the first such Biblical concordances were first created in medieval

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was started the early thematic concordance, which named the major people, places, things and ideas that appeared in the Bible. Although the first such Biblical concordances were first created in medieval times, they have never gone out of fashion. As a boy, for example, I was given at Sunday School a

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created in medieval times, they have never gone out of fashion. As a boy, for example, I was given at Sunday School a then popular Concordance of the Bible developed by the Rev. W.M. Clow. I don't know when it was created, but from the wording in the introduction

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thee Deut. 31: 6, thy Good, he it is that doth g. Ruth 1: 15, whither thou g., I will go. [...] The editor of this concordance didn't attempt to list all occurrences of all the words in the Bible. Function words such as "a" or "for" are not present at

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are listed - only those which were considered significant by the editor. The editor does not tell us about the labour involved in producing such a concordance, but it was undoubtedly large, since all occurrences would be recorded and ordered by hand. When done this way concordance production could become the life'

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involved in producing such a concordance, but it was undoubtedly large, since all occurrences would be recorded and ordered by hand. When done this way concordance production could become the life's work of a scholar and his team of researchers! With the work of Roberta Busa as early as the

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Roberta Busa as early as the late 1940's, we have the first computer-assisted work in the humanities. Actually, Busa decided to produce a concordance by machine of the complete writings of the Medieval scholar Thomas Acquinas for fundamentally scholarly (in this case, philosphical) reasons! His doctoral thesis (defended in

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Dokument 17, 2.954 Worte, 38.626 Bytes, 9 Zitate :
"Corpus Classroom Currency,"

<< Zurück zum Anfang < Zurück Weiter >
Corpus Classroom Currency
http://www.eng.helsinki.fi/doe/ESSE5-2000/Tognini.htm
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Suchtext 1, "kwic", Zitate: 2

brings together many different texts and therefore cannot be identified with a unique and coherent communicative event; the citations in a corpus - expandable from the KWIC format to include n number of words - remain fragments of text and the significant elements in a corpus are the patterns of repetition and patterns

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horizontally, from left to right, paying attention to the boundaries between larger units such as clauses, sentences and paragraphs. A corpus, examined at first in KWIC format with the node word aligned in the centre, will be read vertically, scanning for the repeated patterns present in the co-text of the

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Suchtext 2, "concordance*", Zitate: 5

a hypothesis to account for these facts; this in turn will lead to a generalisation based on the evidence of the repeated patterns in the concordance; the last step will be the unification of these observations in a theoretical statement. Given that a corpus is a collection of texts, the aim

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evidence, made possible by the new possibility of accessing simultaneously the individual instance, which can be read and expanded on the horizontal axis of the concordance [4] , and the social practice retrievable in the repeated patterns of co-selection on the vertical axis of the concordance. Here, frequency of occurrence is

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the horizontal axis of the concordance [4] , and the social practice retrievable in the repeated patterns of co-selection on the vertical axis of the concordance. Here, frequency of occurrence is indicative of frequency of use and this gives a good basis to evaluate the profile of a specific word, structure

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to be identified and analysed in order to make statements of meaning. Collocation and colligation are both formal features of a text and the alphabetised concordance lends itself remarkably well to the identification of such patterns. The Firthian model, which starts by identifying formal textual features and proceeds to correlate them

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between a conversation and its cultural context. In the specific case of language teaching, the identification and close evaluation of repeated language events in the concordance has the purpose of exposing the students to both linguistic and cultural observations. We can conclude by saying that the way a contextual theory of

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Dokument 18, 3.320 Worte, 23.509 Bytes, 3 Zitate :
"CI TCC 1.03,"

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CI TCC 1.03
http://www.computists.com/tcc/tcc1n03.html
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Suchtext 1, "kwic", Zitate: 1

terminology, technical glossaries, etc.; statistical data; synonyms, antonyms, hypernyms, pertainyms; phrase lists; etc.. Tools: lexical database management tools; lexical query languages; text analysis tools (concordance, KWIC, statistical analysis, collocation analysis, etc.); SGML tools (particularly tuned to dictionary encoding); parsers; morphological analyzers; user interfaces to dictionaries; lexical workbenches; and dictionary definition sense

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Suchtext 2, "concordance*", Zitate: 1

specialized terminology, technical glossaries, etc.; statistical data; synonyms, antonyms, hypernyms, pertainyms; phrase lists; etc.. Tools: lexical database management tools; lexical query languages; text analysis tools (concordance, KWIC, statistical analysis, collocation analysis, etc.); SGML tools (particularly tuned to dictionary encoding); parsers; morphological analyzers; user interfaces to dictionaries; lexical workbenches; and dictionary definition

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Dokument 19, 5.487 Worte, 75.584 Bytes, 11 Zitate :
"OTDPT7.doc,"

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OTDPT7.doc
http://www-iet.open.ac.uk/pp/r.goodfellow/lexica1/report.html
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Suchtext 1, "kwic", Zitate: 1

highly referential world of newspapers, magazines and books. The concordancer in its more linguistic uses was not widely understood: for instance, the possibility of extending kwic searches to look at morphology . Only one student wondered whether it might be useful to use a concordancer to look for inflexions, and for infinitive

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Suchtext 2, "concordance*", Zitate: 9

web site. (http://www-iet.open.ac.uk/courses/lexica/lexica.html) c) Advice about the aims of the Project, the use of dictionary and concordancer and the role of the tutors was provided on the Project web site. (http://www-iet.open.ac.uk/courses/lexica/participants.html) d) Tutorial

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method of learning - I still remember my words after selection and use... ..opportunity for infinite repetition... Negative views tend to concentrate around the texts, the concordancer, the Forum and the design of Lexica: Negatives ...texts too easy... ...limitations of texts chosen... ...greater number of texts perhaps including some not directly related

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of texts chosen... ...greater number of texts perhaps including some not directly related to the course... ...I knew most of the words in the texts... ..concordancer is a tool for advanced linguists ..structure of forum difficult to pick up...needs more main conferences or threads... ...web site difficult and slow to

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its relevance. Some students, while reporting difficulties with the task, found a practical way forward, and came close to being able to talk about polysemy: Concordancer This was a totally unfamiliar tool, but one which captivated students at first. Queries were not about how to use it, or why, but about

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the corpus was not big enough to provide alternative examples of more unusual words and expressions). The most successful tools were the dictionary and the concordancer (when used as a dictionary) which deal with meaning and 'real' referents. The Web was also appreciated as a vehicle for pursuing the student's

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Web was also appreciated as a vehicle for pursuing the student's own learning via the highly referential world of newspapers, magazines and books. The concordancer in its more linguistic uses was not widely understood: for instance, the possibility of extending kwic searches to look at morphology . Only one student wondered

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understood: for instance, the possibility of extending kwic searches to look at morphology . Only one student wondered whether it might be useful to use a concordancer to look for inflexions, and for infinitive forms of verbs. Form-focused work did not generally appeal, however. The least successful tool, the grouping module,

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whole understood . Its relevance was queried several times. Familiar tools and resources (dictionary, library, bookshop or newstands) are reassuring, whereas those demanding more abstract thought (concordancer, grouping tool) are intimidating. Having to acquire Web skills, and to combine them with Lexica procedures, puts a learning burden on students, but this is

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to the way you approach vocabulary learning: SELECTING vocabulary yourself, from the texts Making NOTES on selected items Putting the items into GROUPS Using the CONCORDANCER Testing with the CONTEXT clue Testing with the NOTES clue Testing with the GROUPS clue 6. Please tick any of the areas in which you

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Dokument 21, 2.934 Worte, 20.883 Bytes, 16 Zitate :
" SPITBOL and Non-Numeric Computing,"

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SPITBOL and Non-Numeric Computing
http://www.dsu.edu/%7Ejohnsone/spit3862.html
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Suchtext 1, "kwic", Zitate: 5

The simplicity of my tag-counter program is in contrast to another SPITBOL program I call CONCORD; it generates a complete key-word-in-context (KWIC) concordance for a text. Click here to read note 1. Figure 2 shows an extremely small part of CONCORD's output for Herman Melville's

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read note 1. Figure 2 shows an extremely small part of CONCORD's output for Herman Melville's Moby-Dick. In order to produce a KWIC concordance for that novel, CONCORD identified each of the 210,349 words of running text, and it stored the words in a table along with

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with the location of each word; it sorted them in alphabetical order, and it created an output file. CONCORD's output file containing a full KWIC concordance of Moby-Dick is over eighteen megabytes. As can be seen in Figure 2, CONCORD's output has each word centered in its context

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numeric computing available for a microcomputer. Only about five minutes is needed for CONCORD to produce an 11. Click here to read note 2. megabyte KWIC concordance for Lord Jim when it is run on a (now, rather modest) microcomputer containing an 80486-25 MHZ processor. If it were printed, the

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Whale made a sudden rush among 16429.6 rpendicularly from the sea, the WHITE Whale dashed his broad forehead Figure 2. Output from CONCORD: a KWIC concordance program written in SPITBOL.

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Suchtext 2, "concordance*", Zitate: 6

simplicity of my tag-counter program is in contrast to another SPITBOL program I call CONCORD; it generates a complete key-word-in-context (KWIC) concordance for a text. Click here to read note 1. Figure 2 shows an extremely small part of CONCORD's output for Herman Melville's Moby-

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note 1. Figure 2 shows an extremely small part of CONCORD's output for Herman Melville's Moby-Dick. In order to produce a KWIC concordance for that novel, CONCORD identified each of the 210,349 words of running text, and it stored the words in a table along with the

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the location of each word; it sorted them in alphabetical order, and it created an output file. CONCORD's output file containing a full KWIC concordance of Moby-Dick is over eighteen megabytes. As can be seen in Figure 2, CONCORD's output has each word centered in its context (of

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computing available for a microcomputer. Only about five minutes is needed for CONCORD to produce an 11. Click here to read note 2. megabyte KWIC concordance for Lord Jim when it is run on a (now, rather modest) microcomputer containing an 80486-25 MHZ processor. If it were printed, the 11.

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Jim when it is run on a (now, rather modest) microcomputer containing an 80486-25 MHZ processor. If it were printed, the 11.2 megabyte concordance would require about 2,500 sheets of paper: five reams. Thus, this SPITBOL-386 program can produce about five hundred pages of output per minute

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made a sudden rush among 16429.6 rpendicularly from the sea, the WHITE Whale dashed his broad forehead Figure 2. Output from CONCORD: a KWIC concordance program written in SPITBOL.

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Dokument 23, 783 Worte, 6.200 Bytes, 6 Zitate :
< Dokument ohne Titel >

<< Zurück zum Anfang < Zurück Weiter >
< Dokument ohne Titel >
http://aix1.uottawa.ca/%7Eetithese/ldav/knowextr.htm
Original

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Suchtext 1, "kwic", Zitate: 1

field relatively frequently. The concordancer searches for all instances in the text of a search word. The user can specify the output to be a KWIC concordance (key word in context) or a full sentence concordance. The collocation operation looks for other words in the vicinity of a search word, within

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Suchtext 2, "concordance*", Zitate: 4

the present study. The main operations are the following: Preprocessing sentence delimiting part of speech tagging finding and grouping compound nouns Main Processing frequency operations concordance collocations conceptual operations Sentence delimiting is a preprocessing operation that must be performed on a text before it can be used in the TA. This

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for determining potential terms, the assumption being that a text treating a given subject field will use the terms from that field relatively frequently. The concordancer searches for all instances in the text of a search word. The user can specify the output to be a KWIC concordance (key word in

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relatively frequently. The concordancer searches for all instances in the text of a search word. The user can specify the output to be a KWIC concordance (key word in context) or a full sentence concordance. The collocation operation looks for other words in the vicinity of a search word, within a

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the text of a search word. The user can specify the output to be a KWIC concordance (key word in context) or a full sentence concordance. The collocation operation looks for other words in the vicinity of a search word, within a range of five words on either side. The output

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Dokument 24, 220 Worte, 6.003 Bytes, 3 Zitate :
"Yahoo! Society and Culture>Religion and Spirituality>Texts,"

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Yahoo! Society and Culture>Religion and Spirituality>Texts
http://uk.dir.yahoo.com/Society_and_Culture/Religion_and_Spirituality/Texts/
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Suchtext 1, "kwic", Zitate: 1

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Suchtext 2, "concordance*", Zitate: 1

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Dokument 25, 6.040 Worte, 40.954 Bytes, 12 Zitate :
"Investigating Form and Meaning,"

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Investigating Form and Meaning
http://www.ruf.rice.edu/%7Ebarlow/form.html
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Suchtext 1, "kwic", Zitate: 1

term) from language A, and the program then finds and displays all the instances of the search term. The concordance results are typically displayed in KWIC format, i.e., with the search word in the centre of the window, along with a context of preceding and following words. In addition, the

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Suchtext 2, "concordance*", Zitate: 10

in terms of a schema-based approach to grammatical knowledge described in Barlow and Kemmer (1994) and Barlow (1996). A brief description of a parallel concordance program is also included. Keywords: translation schema concordance bilingual text 1. Introduction The relation of form and meaning is at the core of language study,

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grammatical knowledge described in Barlow and Kemmer (1994) and Barlow (1996). A brief description of a parallel concordance program is also included. Keywords: translation schema concordance bilingual text 1. Introduction The relation of form and meaning is at the core of language study, whether for the lexicographer grappling with homonymy and

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approaches issues in translation via a modest exploration of the nature of form-meaning links from a linguistic viewpoint and a brief description of a concordance program that can be used to extract useful information about the process of translation. The term translation equivalence has an uneasy feel about it, based

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and discuss the information to be derived from bilingual corpora. One way to extract the information inherent in such corpora is by using a parallel concordance program such as ParaConc for Windows . This software can be used to investigate various aspects of translation, including translation equivalence, as described in the following

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This software can be used to investigate various aspects of translation, including translation equivalence, as described in the following section. 2. Bilingual Concordancing Like other concordance programs, ParaConc for Windows facilitates research into the lexical, syntactic, and semantic patterns of a language. It differs from other concordancers in that it is

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Bilingual Concordancing Like other concordance programs, ParaConc for Windows facilitates research into the lexical, syntactic, and semantic patterns of a language. It differs from other concordancers in that it is designed to work with parallel texts, i.e., texts in two languages that are translations and are aligned, typically sentence by

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or phrase (i.e., a search term) from language A, and the program then finds and displays all the instances of the search term. The concordance results are typically displayed in KWIC format, i.e., with the search word in the centre of the window, along with a context of preceding

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at least not in the sentence that is displayed. Let us briefly look at some data to illustrate the information made available by a parallel concordancer. If the English section of an English-French parallel corpus is searched for the word head , then the software will find and display the first

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wasn't someone you could tackle head on. I just said to him in a faint voi... The search term is centred and consequently, the concordance line may be cut off in mid-word. Since we expect texts to consist of complete sentences or at least complete words, this format can

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interpret these results it is important to remember that the French sentence matches the English sentence containing the search term head , and not the complete concordance line. The results obtained from this search can be examined to see the relationship between the English search term along with its context and the

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Diese Datei	01-109-19-Apr#S006-English - KWiC Concordance-Report.xml

Suchergebnisse 6English - KWiC Concordance

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Suchergebnisse 6
English - KWiC Concordance