%!PS-Adobe-3.0 %%Creator: Windows PSCRIPT %%Title: Microsoft Word - ALLCPAP.DOC %%BoundingBox: 13 10 577 832 %%DocumentNeededResources: (atend) %%DocumentSuppliedResources: (atend) %%Pages: (atend) %%BeginResource: procset Win35Dict 3 1 /Win35Dict 290 dict def Win35Dict begin/bd{bind def}bind def/in{72 mul}bd/ed{exch def}bd/ld{load def}bd/tr/translate ld/gs/gsave ld/gr /grestore ld/M/moveto ld/L/lineto ld/rmt/rmoveto ld/rlt/rlineto ld /rct/rcurveto ld/st/stroke ld/n/newpath ld/sm/setmatrix ld/cm/currentmatrix ld/cp/closepath ld/ARC/arcn ld/TR{65536 div}bd/lj/setlinejoin ld/lc /setlinecap ld/ml/setmiterlimit ld/sl/setlinewidth ld/scignore false def/sc{scignore{pop pop pop}{0 index 2 index eq 2 index 4 index eq and{pop pop 255 div setgray}{3{255 div 3 1 roll}repeat setrgbcolor}ifelse}ifelse}bd /FC{bR bG bB sc}bd/fC{/bB ed/bG ed/bR ed}bd/HC{hR hG hB sc}bd/hC{ /hB ed/hG ed/hR ed}bd/PC{pR pG pB sc}bd/pC{/pB ed/pG ed/pR ed}bd/sM matrix def/PenW 1 def/iPen 5 def/mxF matrix def/mxE matrix def/mxUE matrix def/mxUF matrix def/fBE false def/iDevRes 72 0 matrix defaultmatrix dtransform dup mul exch dup mul add sqrt def/fPP false def/SS{fPP{ /SV save def}{gs}ifelse}bd/RS{fPP{SV restore}{gr}ifelse}bd/EJ{gsave showpage grestore}bd/#C{userdict begin/#copies ed end}bd/FEbuf 2 string def/FEglyph(G )def/FE{1 exch{dup 16 FEbuf cvrs FEglyph exch 1 exch putinterval 1 index exch FEglyph cvn put}for}bd/SM{/iRes ed/cyP ed /cxPg ed/cyM ed/cxM ed 72 100 div dup scale dup 0 ne{90 eq{cyM exch 0 eq{cxM exch tr -90 rotate -1 1 scale}{cxM cxPg add exch tr +90 rotate}ifelse}{cyP cyM sub exch 0 ne{cxM exch tr -90 rotate}{cxM cxPg add exch tr -90 rotate 1 -1 scale}ifelse}ifelse}{pop cyP cyM sub exch 0 ne{cxM cxPg add exch tr 180 rotate}{cxM exch tr 1 -1 scale}ifelse}ifelse 100 iRes div dup scale 0 0 transform .25 add round .25 sub exch .25 add round .25 sub exch itransform translate}bd/SJ{1 index 0 eq{pop pop/fBE false def}{1 index/Break ed div/dxBreak ed/fBE true def}ifelse}bd/ANSIVec[ 16#0/grave 16#1/acute 16#2/circumflex 16#3/tilde 16#4/macron 16#5/breve 16#6/dotaccent 16#7/dieresis 16#8/ring 16#9/cedilla 16#A/hungarumlaut 16#B/ogonek 16#C/caron 16#D/dotlessi 16#27/quotesingle 16#60/grave 16#7C/bar 16#82/quotesinglbase 16#83/florin 16#84/quotedblbase 16#85 /ellipsis 16#86/dagger 16#87/daggerdbl 16#88/circumflex 16#89/perthousand 16#8A/Scaron 16#8B/guilsinglleft 16#8C/OE 16#91/quoteleft 16#92/quoteright 16#93/quotedblleft 16#94/quotedblright 16#95/bullet 16#96/endash 16#97 /emdash 16#98/tilde 16#99/trademark 16#9A/scaron 16#9B/guilsinglright 16#9C/oe 16#9F/Ydieresis 16#A0/space 16#A1/exclamdown 16#A4/currency 16#A5/yen 16#A6/brokenbar 16#A7/section 16#A8/dieresis 16#A9/copyright 16#AA/ordfeminine 16#AB/guillemotleft 16#AC/logicalnot 16#AD/hyphen 16#AE/registered 16#AF/macron 16#B0/degree 16#B1/plusminus 16#B2/twosuperior 16#B3/threesuperior 16#B4/acute 16#B5/mu 16#B6/paragraph 16#B7/periodcentered 16#B8/cedilla 16#B9/onesuperior 16#BA/ordmasculine 16#BB/guillemotright 16#BC/onequarter 16#BD/onehalf 16#BE/threequarters 16#BF/questiondown 16#C0/Agrave 16#C1/Aacute 16#C2/Acircumflex 16#C3/Atilde 16#C4/Adieresis 16#C5/Aring 16#C6/AE 16#C7/Ccedilla 16#C8/Egrave 16#C9/Eacute 16#CA /Ecircumflex 16#CB/Edieresis 16#CC/Igrave 16#CD/Iacute 16#CE/Icircumflex 16#CF/Idieresis 16#D0/Eth 16#D1/Ntilde 16#D2/Ograve 16#D3/Oacute 16#D4 /Ocircumflex 16#D5/Otilde 16#D6/Odieresis 16#D7/multiply 16#D8/Oslash 16#D9/Ugrave 16#DA/Uacute 16#DB/Ucircumflex 16#DC/Udieresis 16#DD/Yacute 16#DE/Thorn 16#DF/germandbls 16#E0/agrave 16#E1/aacute 16#E2/acircumflex 16#E3/atilde 16#E4/adieresis 16#E5/aring 16#E6/ae 16#E7/ccedilla 16#E8 /egrave 16#E9/eacute 16#EA/ecircumflex 16#EB/edieresis 16#EC/igrave 16#ED/iacute 16#EE/icircumflex 16#EF/idieresis 16#F0/eth 16#F1/ntilde 16#F2/ograve 16#F3/oacute 16#F4/ocircumflex 16#F5/otilde 16#F6/odieresis 16#F7/divide 16#F8/oslash 16#F9/ugrave 16#FA/uacute 16#FB/ucircumflex 16#FC/udieresis 16#FD/yacute 16#FE/thorn 16#FF/ydieresis ] def/reencdict 12 dict def/IsChar{basefontdict/CharStrings get exch known}bd/MapCh{dup IsChar not{pop/bullet}if newfont/Encoding get 3 1 roll put}bd/MapDegree{16#b0 /degree IsChar{/degree}{/ring}ifelse MapCh}bd/MapBB{16#a6/brokenbar IsChar{/brokenbar}{/bar}ifelse MapCh}bd/ANSIFont{reencdict begin/newfontname ed/basefontname ed FontDirectory newfontname known not{/basefontdict basefontname findfont def/newfont basefontdict maxlength dict def basefontdict{exch dup/FID ne{dup/Encoding eq{exch dup length array copy newfont 3 1 roll put}{exch newfont 3 1 roll put}ifelse}{pop pop}ifelse}forall newfont /FontName newfontname put 127 1 159{newfont/Encoding get exch/bullet put}for ANSIVec aload pop ANSIVec length 2 idiv{MapCh}repeat MapDegree MapBB newfontname newfont definefont pop}if newfontname end}bd/SB{FC /ULlen ed/str ed str length fBE not{dup 1 gt{1 sub}if}if/cbStr ed /dxGdi ed/y0 ed/x0 ed str stringwidth dup 0 ne{/y1 ed/x1 ed y1 y1 mul x1 x1 mul add sqrt dxGdi exch div 1 sub dup x1 mul cbStr div exch y1 mul cbStr div}{exch abs neg dxGdi add cbStr div exch}ifelse/dyExtra ed/dxExtra ed x0 y0 M fBE{dxBreak 0 BCh dxExtra dyExtra str awidthshow}{dxExtra dyExtra str ashow}ifelse fUL{x0 y0 M dxUL dyUL rmt ULlen fBE{Break add}if 0 mxUE transform gs rlt cyUL sl [] 0 setdash st gr}if fSO{x0 y0 M dxSO dySO rmt ULlen fBE{Break add}if 0 mxUE transform gs rlt cyUL sl [] 0 setdash st gr}if n/fBE false def}bd/font{/name ed/Ascent ed 0 ne/fT3 ed 0 ne/fSO ed 0 ne/fUL ed/Sy ed/Sx ed 10.0 div/ori ed -10.0 div/esc ed/BCh ed name findfont/xAscent 0 def/yAscent Ascent def/ULesc esc def ULesc mxUE rotate pop fT3{/esc 0 def xAscent yAscent mxUE transform /yAscent ed/xAscent ed}if [Sx 0 0 Sy neg xAscent yAscent] esc mxE rotate mxF concatmatrix makefont setfont [Sx 0 0 Sy neg 0 Ascent] mxUE mxUF concatmatrix pop fUL{currentfont dup/FontInfo get/UnderlinePosition known not{pop/Courier findfont}if/FontInfo get/UnderlinePosition get 1000 div 0 exch mxUF transform/dyUL ed/dxUL ed}if fSO{0 .3 mxUF transform /dySO ed/dxSO ed}if fUL fSO or{currentfont dup/FontInfo get/UnderlineThickness known not{pop/Courier findfont}if/FontInfo get/UnderlineThickness get 1000 div Sy mul/cyUL ed}if}bd/min{2 copy gt{exch}if pop}bd/max{2 copy lt{exch}if pop}bd/CP{/ft ed{{ft 0 eq{clip}{eoclip}ifelse}stopped{currentflat 1 add setflat}{exit}ifelse}loop}bd/patfont 10 dict def patfont begin /FontType 3 def/FontMatrix [1 0 0 -1 0 0] def/FontBBox [0 0 16 16] def/Encoding StandardEncoding def/BuildChar{pop pop 16 0 0 0 16 16 setcachedevice 16 16 false [1 0 0 1 .25 .25]{pat}imagemask}bd end/p{ /pat 32 string def{}forall 0 1 7{dup 2 mul pat exch 3 index put dup 2 mul 1 add pat exch 3 index put dup 2 mul 16 add pat exch 3 index put 2 mul 17 add pat exch 2 index put pop}for}bd/pfill{/PatFont patfont definefont setfont/ch(AAAA)def X0 64 X1{Y1 -16 Y0{1 index exch M ch show}for pop}for}bd/vert{X0 w X1{dup Y0 M Y1 L st}for}bd/horz{Y0 w Y1{dup X0 exch M X1 exch L st}for}bd/fdiag{X0 w X1{Y0 M X1 X0 sub dup rlt st}for Y0 w Y1{X0 exch M Y1 Y0 sub dup rlt st}for}bd/bdiag{X0 w X1{Y1 M X1 X0 sub dup neg rlt st}for Y0 w Y1{X0 exch M Y1 Y0 sub dup neg rlt st}for}bd/AU{1 add cvi 15 or}bd/AD{1 sub cvi -16 and}bd/SHR{pathbbox AU/Y1 ed AU/X1 ed AD/Y0 ed AD/X0 ed}bd/hfill{/w iRes 37.5 div round def 0.1 sl [] 0 setdash n dup 0 eq{horz}if dup 1 eq{vert}if dup 2 eq{fdiag}if dup 3 eq{bdiag}if dup 4 eq{horz vert}if 5 eq{fdiag bdiag}if}bd/F{/ft ed fm 256 and 0 ne{gs FC ft 0 eq{fill}{eofill}ifelse gr}if fm 1536 and 0 ne{SHR gs HC ft CP fm 1024 and 0 ne{/Tmp save def pfill Tmp restore}{fm 15 and hfill}ifelse gr}if}bd/S{PenW sl PC st}bd/m matrix def/GW{iRes 12 div PenW add cvi}bd/DoW{iRes 50 div PenW add cvi}bd/DW{iRes 8 div PenW add cvi}bd/SP{/PenW ed/iPen ed iPen 0 eq iPen 6 eq or{[] 0 setdash}if iPen 1 eq{[DW GW] 0 setdash}if iPen 2 eq{[DoW GW] 0 setdash}if iPen 3 eq{[DW GW DoW GW] 0 setdash}if iPen 4 eq{[DW GW DoW GW DoW GW] 0 setdash}if}bd/E{m cm pop tr scale 1 0 moveto 0 0 1 0 360 arc cp m sm}bd /AG{/sy ed/sx ed sx div 4 1 roll sy div 4 1 roll sx div 4 1 roll sy div 4 1 roll atan/a2 ed atan/a1 ed sx sy scale a1 a2 ARC}def/A{m cm pop tr AG m sm}def/P{m cm pop tr 0 0 M AG cp m sm}def/RRect{n 4 copy M 3 1 roll exch L 4 2 roll L L cp}bd/RRCC{/r ed/y1 ed/x1 ed/y0 ed/x0 ed x0 x1 add 2 div y0 M x1 y0 x1 y1 r arcto 4{pop}repeat x1 y1 x0 y1 r arcto 4{pop}repeat x0 y1 x0 y0 r arcto 4{pop}repeat x0 y0 x1 y0 r arcto 4{pop}repeat cp}bd/RR{2 copy 0 eq exch 0 eq or{pop pop RRect}{2 copy eq{pop RRCC}{m cm pop/y2 ed/x2 ed/ys y2 x2 div 1 max def/xs x2 y2 div 1 max def/y1 exch ys div def/x1 exch xs div def/y0 exch ys div def/x0 exch xs div def/r2 x2 y2 min def xs ys scale x0 x1 add 2 div y0 M x1 y0 x1 y1 r2 arcto 4{pop}repeat x1 y1 x0 y1 r2 arcto 4{pop}repeat x0 y1 x0 y0 r2 arcto 4{pop}repeat x0 y0 x1 y0 r2 arcto 4{pop}repeat m sm cp}ifelse}ifelse}bd/PP{{rlt}repeat}bd/OB{gs 0 ne{7 3 roll/y ed /x ed x y translate ULesc rotate x neg y neg translate x y 7 -3 roll}if sc B fill gr}bd/B{M/dy ed/dx ed dx 0 rlt 0 dy rlt dx neg 0 rlt cp}bd /CB{B clip n}bd/ErrHandler{errordict dup maxlength exch length gt dup{errordict begin}if/errhelpdict 12 dict def errhelpdict begin/stackunderflow(operand stack underflow)def /undefined(this name is not defined in a dictionary)def/VMerror(you have used up all the printer's memory)def /typecheck(operator was expecting a different type of operand)def /ioerror(input/output error occured)def end{end}if errordict begin /handleerror{$error begin newerror{/newerror false def showpage 72 72 scale/x .25 def/y 9.6 def/Helvetica findfont .2 scalefont setfont x y moveto(Offending Command = )show/command load{dup type/stringtype ne{(max err string)cvs}if show}exec/y y .2 sub def x y moveto(Error = )show errorname{dup type dup( max err string )cvs show( : )show/stringtype ne{( max err string )cvs}if show}exec errordict begin errhelpdict errorname known{x 1 add y .2 sub moveto errhelpdict errorname get show}if end /y y .4 sub def x y moveto(Stack =)show ostack{/y y .2 sub def x 1 add y moveto dup type/stringtype ne{( max err string )cvs}if show}forall showpage}if end}def end}bd end %%EndResource /SVDoc save def %%EndProlog %%BeginSetup Win35Dict begin ErrHandler statusdict begin 0 setjobtimeout end statusdict begin statusdict /jobname (Microsoft Word - ALLCPAP.DOC) put end /oldDictCnt countdictstack def {}stopped { countdictstack oldDictCnt lt { Win35Dict begin } {1 1 countdictstack oldDictCnt sub {pop end } for } ifelse } if /oldDictCnt countdictstack def {a4 }stopped { countdictstack oldDictCnt lt { Win35Dict begin } {1 1 countdictstack oldDictCnt sub {pop end } for } ifelse } if [{ } /exec load currenttransfer /exec load] cvx settransfer %%EndSetup %%Page: 1 1 %%PageResources: (atend) SS 0 0 18 13 783 1169 300 SM 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 0 0 0 fC 241 258 1613 (Paper presented at the ACH/ALLC \22195 Conference, Santa Barbara 11-15/7-1995) 1613 SB 32 0 0 50 50 0 0 0 46 /Times-BoldItalic /font30 ANSIFont font 742 376 888 (Figures and tables at the end of the article.) 888 SB 32 0 0 58 58 0 0 0 54 /Times-Bold /font29 ANSIFont font 467 494 1438 (A Program for Aligning English and Norwegian Sentences) 1438 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1050 632 272 (Knut Hofland) 272 SB 602 691 1168 (Norwegian Computing Centre for the Humanities \(NCCH\)) 1168 SB 950 750 471 (Harald H\345rfagres gt. 31) 471 SB 1031 809 309 (N-5007 Bergen) 309 SB 1106 868 160 (Norway) 160 SB 884 986 603 (Telephone +47 5521 2954/5/6) 603 SB 991 1045 390 (Fax +47 5532 2656) 390 SB 855 1163 661 (E-mail: Knut.Hofland@hd.uib.no) 661 SB 656 1281 1059 (URL for the project: http://www.hd.uib.no/enpc.html) 1059 SB 455 1399 1462 (Knut Hofland is senior computing officer and systems manager at NCCH.) 1462 SB 32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font 241 1576 185 (Abstract) 185 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 241 1694 1848 (A program for aligning sentences in the English-Norwegian Parallel Corpus is presented. The) 1848 SB 241 1753 1680 (program makes use of a simple bilingual lexicon \(anchor words\), but in addition uses) 1680 SB 241 1812 1795 (information like proper nouns, special characters and tags, cognates and sentence length in) 1795 SB 241 1871 1824 (characters. The program has been tested on a part of the corpus \(51 text pairs of totally 1.3) 1824 SB 241 1930 1874 (million words\) with an error rate of 1.9 per cent. The program is an invaluable aid in preparing) 1874 SB 241 1989 378 (the parallel corpus.) 378 SB 32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font 241 2107 323 (1. Introduction) 323 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 241 2225 1878 (The English-Norwegian Parallel Corpus \(ENPC\) project was started in the beginning of 1994,) 1878 SB 241 2284 1825 (after a pilot study had been carried out in 1993, and it is expected to end in early 1996. The) 1825 SB 241 2343 1675 (parallel corpus is meant to be a research tool for linguists and students interested in) 1675 SB 241 2402 1667 (contrastive linguistics. It will consist of two sub-corpora: a translation corpus and a) 1667 SB 241 2461 1874 (comparative corpus. The translation corpus will contain English and Norwegian originals and) 1874 SB 241 2520 1637 (their translations \(including both English-to-Norwegian and Norwegian-to-English) 1637 SB 241 2579 1787 (translations\), while the comparative corpus will consist of original texts, in both languages) 1787 SB 241 2638 894 (which are matched with respect to text type.) 894 SB 389 2697 1691 (The corpus will only contain written material, but both fiction and non-fictional texts) 1691 SB 241 2756 1810 (will be included. To make it possible to include as many different writers and translators as) 1810 SB 241 2815 1783 (possible, text extracts of 10,000 - 15,000 words will be selected and not complete books.) 1783 SB 241 2874 1759 (Each text extract will start at the beginning of the book, and if possible, end at a chapter) 1759 SB 241 2933 1888 (boundary. We hope to be able to compile as many as 160 text extracts during the first year \(40) 1888 SB 241 2992 1739 (English and 40 Norwegian texts, with their translations\), which will give us a corpus of) 1739 SB 241 3051 1799 (approximately 2 million words. By July 1995 150 texts had been scanned and 51 pairs had) 1799 SB 1 #C statusdict begin /manualfeed false store end EJ RS %%PageTrailer %%PageResources: font Times-Bold %%+ font Times-BoldItalic %%+ font Times-Roman %%Page: 2 2 %%PageResources: (atend) SS 0 0 18 13 783 1169 300 SM 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 0 0 0 fC 241 258 1883 (been aligned. As regards the structure of the corpus and the projected uses of the material, see) 1883 SB 241 317 1483 (\(Johansson and Hofland, 1994\) and \(Johansson and Ebeling, forthcoming\).) 1483 SB 32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font 241 435 771 (2. Processing and coding of the texts) 771 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 241 553 1788 (Before alignment can be attempted, a text must be available in electronic form and contain) 1788 SB 241 612 380 (some basic markup) 380 SB 32 0 0 42 42 0 0 0 38 /Times-Roman /font32 ANSIFont font 621 619 22 (. ) 22 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 643 612 1436 (The coding of the texts is in broad agreement with the recommendations) 1436 SB 241 671 1591 (of the Text Encoding Initiative \(TEI\) \(cf. Sperberg-McQueen & Burnard 1994\).) 1591 SB 389 730 202 (All texts a) 202 SB 591 730 1529 (re scanned using an OCR reader. The scanner outputs word processing files.) 1529 SB 241 789 1759 (This means that paragraphs are uniquely identifiable, and can be tagged as such when we) 1759 SB 241 848 1871 (convert a text processing file to ASCII format, which is the format in which we store our files.) 1871 SB 241 907 1843 (The scanner can also recognise highlighted text, e.g. italic or bold, and tags for these are also) 1843 SB 241 966 1770 (inserted automatically. However, the program is not foolproof, and it often misses out on) 1770 SB 241 1025 1794 (highlighted text, or places tags for start and end of highlighted text wrongly. In addition to) 1794 SB 241 1084 1882 (paragraph mark-up and highlighted text, we also insert markers of page breaks manually at this) 1882 SB 241 1143 401 (point in the process.) 401 SB 389 1202 1742 (Contractions in the texts are split and orthographic sentences are recognised and tagged) 1742 SB 241 1261 1872 (by using two small programs. An empty TEI header is placed at the beginning of the file and is) 1872 SB 241 1320 674 (filled out during the proofreading.) 674 SB 389 1379 1712 (The texts are then proofread and additional markup is added. As regards the coding of) 1712 SB 241 1438 1800 (the texts, see \(Johansson, Ebeling and Hofland forthcoming\). An example of a text extract) 1800 SB 241 1497 807 (before and after markup is given in fig 1.) 807 SB 389 1556 1736 (After the markup has been completed and checked, each pair of texts is run through the) 1736 SB 241 1615 1820 (alignment program. The alignment is checked manually, sometimes the markup for sentence) 1820 SB 241 1674 1568 (division or other input data is changed, and the program is then run once more.) 1568 SB 32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font 241 1792 275 (3. Alignment) 275 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 241 1910 1812 (By the time the ENPC pilot project started in spring 1993, a good deal of work had already) 1812 SB 241 1969 1788 (been done on alignment, \(Brown et al.,1991\), \(Gale and Church,1991\) and \(Simard et. al,) 1788 SB 241 2028 1751 (1992\). Since then several other approaches have been used, both for sentence, word and) 1751 SB 241 2087 1759 (character alignment, \(Kay and R\366scheisen 1993\), \(Church 1993\), \(McEnery et. al 1994\),) 1759 SB 241 2146 435 (\(Papageorgiou 1994\).) 435 SB 389 2205 1699 (All of these methods are mainly based on statistics. In our project we wanted to focus) 1699 SB 241 2264 1777 (on lanuage specific information, so-called anchor words or a simple bilingual lexicon. The) 1777 SB 241 2323 1868 (considerations in putting together the list were: 1\) the words had to be reasonably frequent; 2\)) 1868 SB 241 2382 1788 (the words had to have fairly straightforward equivalents in the two languages. Some items) 1788 SB 241 2441 1663 (were included even though the words were not very frequent, provided that a good) 1663 SB 241 2500 836 (correspondence could be established, e.g. ) 836 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1077 2500 270 ( photo*/foto*) 270 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1347 2500 699 (, \(the asterisk indicates truncation\).) 699 SB 241 2559 1856 (Conversely, some frequent words were included even though the correspondence pattern was) 1856 SB 241 2618 684 (not straightforward. For example, ) 684 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 925 2618 397 (open* /\345pen*, \345pn*) 397 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1322 2618 808 ( caters for a number of different forms in) 808 SB 241 2677 387 (the two languages: ) 387 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 628 2677 802 (open, opens, opened, openly, openness, ) 802 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1430 2677 141 (etc. vs.) 141 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1571 2677 539 ( \345pen, \345pner, \345pnet, \345pent,) 539 SB 241 2736 184 (\345penhet, ) 184 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 425 2736 1632 (etc. The list was partially based on intuition, and partially on \(manual\) matching of) 1632 SB 241 2795 1441 (original and translated texts. An extract of the anchor list is given below:) 1441 SB 241 2913 341 (all / all*, alt, hel*) 341 SB 241 2972 310 (almost / nesten) 310 SB 241 3031 388 (alone, single / alene) 388 SB 241 3090 337 (already / allerede) 337 SB 1 #C statusdict begin /manualfeed false store end EJ RS %%PageTrailer %%PageResources: font Times-Bold %%+ font Times-Italic %%+ font Times-Roman %%Page: 3 3 %%PageResources: (atend) SS 0 0 18 13 783 1169 300 SM 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 0 0 0 fC 241 258 211 (also / ogs\345) 211 SB 241 317 486 (always / alltid, bestandig) 486 SB 241 376 271 (among / blant) 271 SB 241 435 162 (and / og) 162 SB 241 494 567 (and so on / osv, og s\345 videre) 567 SB 389 612 1718 (A slash separates English and Norwegian forms, a comma separates alternatives in one) 1718 SB 241 671 1829 (of the languages. Sequences of up to three words can be given. The anchor list has currently) 1829 SB 241 730 1799 (about 900 lines. The list is read into the program and stored as two text trees, one for each) 1799 SB 241 789 1861 (language, and with one character in each node. A node in the tree may contain a list of anchor) 1861 SB 241 848 1385 (line numbers and also a flag if the node is the end of a truncated form.) 1385 SB 389 907 1657 (In the first version of the program a fixed number of paragraphs were read from the) 1657 SB 241 966 1835 (two texts and the sentences were aligned within paragraph boundaries. But it turned out that) 1835 SB 241 1025 1823 (very few pairs of texts had an equal number of paragraphs \(only 6 out of 51 tested pairs\). In) 1823 SB 241 1084 1863 (the current version, therefore, a window of 15 sentences is moved through the two texts to be) 1863 SB 241 1143 1887 (aligned, with an overlap of five sentences. An overview of the input and output files is given in) 1887 SB 241 1202 116 (fig. 2.) 116 SB 389 1261 1661 (Words in each of the 15 sentences are first looked up in the anchor text trees. Each) 1661 SB 241 1320 1826 (part of a hyphenated word is also looked up. The words are then stored in a list. The anchor) 1826 SB 241 1379 766 (numbers found are kept in another list.) 766 SB 389 1438 909 (In addition to the anchor numbers, other infor) 909 SB 1298 1438 766 (mation from the sentences is recorded.) 766 SB 241 1497 1862 (Words with an initial capital are kept in a list as candidates for proper nouns. Some characters) 1862 SB 241 1556 1765 (like colon, question mark, exclamation mark and per cent are kept in a character list. The) 1765 SB 241 1615 1855 (program also makes a list of selected tags in the sentence like tags for start or end of division,) 1855 SB 241 1674 1888 (heading or paragraph, and tags for boldface or italics. The number of characters in the sentence) 1888 SB 241 1733 1506 (\(excluding markup\) is counted. An example of these lists are found in fig. 3.) 1506 SB 389 1792 228 (When the 1) 228 SB 617 1792 1425 (5 sentences have been read in the two languages, each of the 15 English) 1425 SB 241 1851 1836 (sentences is checked against each of the 15 Norwegian sentences and a 15 times 15 matrix is) 1836 SB 241 1910 1495 (built. If the same anchor number is found in the list for an English sentence ) 1495 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1736 1910 14 (i) 14 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1750 1910 349 ( and in the list for) 349 SB 241 1969 451 (a Norwegian sentence ) 451 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 692 1969 27 (j,) 27 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 719 1969 433 ( then the value in cell ) 433 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1152 1969 41 (i,j) 41 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1193 1969 904 ( in the matrix is increased by one. In the same) 904 SB 241 2028 1799 (way, the lists for special characters and tags are checked. The lists of capitalized words are) 1799 SB 241 2087 1885 (also checked, either for equality between two words or to see if a word in one of the languages) 1885 SB 241 2146 1855 (is the first part of a word in the other language. This is because in Norwegian \(and German\) a) 1855 SB 241 2205 1870 (proper noun can be the first part of a compound word. Proper nouns which are different in the) 1870 SB 241 2264 383 (two languages like ) 383 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 624 2264 319 (Norway / Norge) 319 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 943 2264 1161 (, cannot be found in this way and are entered in the anchor) 1161 SB 241 2323 1811 (list. All the combinations of the three sentences in fig. 3 are given in tab. 1 and the resulting) 1811 SB 241 2382 422 (3x3 matrix in table 2.) 422 SB 389 2441 1342 (A recent addition to the program is an automatic extraction of cogn) 1342 SB 1731 2441 322 (ates in the texts,) 322 SB 241 2500 1760 (based on principles used in the CRATER project, \(McEnery et al. 1994\). Truncation and) 1760 SB 241 2559 1541 (Dice\222s similarity coefficient are the methods used to find cognates. If the first ) 1541 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1782 2559 38 (n ) 38 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1820 2559 30 ( \() 30 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1850 2559 38 (n ) 38 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1888 2559 232 ( is read as a) 232 SB 241 2618 1777 (parameter to the program\) characters are equal for a word in an English and a Norwegian) 1777 SB 241 2677 1750 (sentence, the two words are assumed to be cognates. For Norwegian/English a value of ) 1750 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1991 2677 25 (n) 25 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 2016 2677 66 ( =6) 66 SB 241 2736 1840 (or 7 gives good results. Dice\222s similarity coefficient is the number of matching bigrams in the) 1840 SB 241 2795 1866 (two words divided by the mean of the number of bigrams for the two words \(2a /\(b+c\), where) 1866 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 241 2854 25 (a) 25 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 266 2854 723 ( is the matching number of bigrams, ) 723 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 989 2854 25 (b) 25 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1014 2854 97 ( and ) 97 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1111 2854 35 (c ) 35 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1146 2854 982 (are the number of bigrams in the two words\). For) 982 SB 241 2913 1785 (Norwegian and English a value of more than 0.7 or 0.8 gives reasonable results. For other) 1785 SB 241 2972 1818 (languages the acceptable value for the coefficient can be less. This parameter is also read by) 1818 SB 241 3031 1881 (the program. For a novel, the cognates, however, only account for 0.5 per cent of the values in) 1881 SB 241 3090 1810 (the matrix for an English-Norwegian or French-Norwegian pair, and for 3-4 per cent for an) 1810 SB 1 #C statusdict begin /manualfeed false store end EJ RS %%PageTrailer %%PageResources: font Times-Italic %%+ font Times-Roman %%Page: 4 4 %%PageResources: (atend) SS 0 0 18 13 783 1169 300 SM 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 0 0 0 fC 241 258 1814 (English-French pair of texts. For non-fiction texts or technical texts this figure will be much) 1814 SB 241 317 1708 (higher. Examples of cognates found in an English-Norwegian text are given in table 1.) 1708 SB 389 376 1643 (A sample matrix is given in table 4. Rows correspond to the English original, while) 1643 SB 241 435 1855 (columns correspond to the Norwegian translation. The figures above and beside the rows and) 1855 SB 241 494 1716 (columns give the sentence number in the window and the number of characters in each) 1716 SB 241 553 183 (sentence.) 183 SB 389 612 920 (The next step is to find a match between the E) 920 SB 1309 612 782 (nglish and Norwegian sentences so that) 782 SB 241 671 1448 (the sum of the values from the matrix is maximized. For a given position ) 1448 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1689 671 41 (i,j) 41 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1730 671 337 ( in the matrix the) 337 SB 241 730 683 (following combinations are tested:) 683 SB 389 848 211 (combine E) 211 SB 600 861 25 (i ) 25 SB 625 848 149 ( with N) 149 SB 774 861 12 (j) 12 SB 786 848 111 ( \(1:1\)) 111 SB 389 907 211 (combine E) 211 SB 600 920 25 (i ) 25 SB 625 907 149 ( with N) 149 SB 774 920 78 ( j+1) 78 SB 852 907 669 ( \(skip a Norwegian sentence, 1:0\)) 669 SB 389 966 211 (combine E) 211 SB 600 979 78 (i+1 ) 78 SB 678 966 149 ( with N) 149 SB 827 979 12 (j) 12 SB 839 966 620 ( \(skip an English sentence, 0:1\)) 620 SB 389 1025 211 (combine E) 211 SB 600 1038 25 (i ) 25 SB 625 1025 115 (and E) 115 SB 740 1038 78 (i+1 ) 78 SB 818 1025 136 (with N) 136 SB 954 1038 12 (j) 12 SB 966 1025 111 ( \(2:1\)) 111 SB 389 1084 211 (combine E) 211 SB 600 1097 25 (i ) 25 SB 625 1084 149 ( with N) 149 SB 774 1097 12 (j) 12 SB 786 1084 146 ( and N) 146 SB 932 1097 78 (j+1 ) 78 SB 1010 1084 98 (\(1:2\)) 98 SB 389 1202 1652 (For each of these combinations an entry is placed on a queue list with the following) 1652 SB 241 1261 244 (information:) 244 SB 389 1379 503 (the next position to go to) 503 SB 389 1438 15 (t) 15 SB 404 1438 265 (he sum so far) 265 SB 389 1497 462 (the combinations so far) 462 SB 389 1615 1707 (Combinations which have been tried before are not put on the queue list. The queue is) 1707 SB 241 1674 1816 (served until it is empty. The current sum is tested against the current maximum sum and the) 1816 SB 241 1733 1802 (combination giving a new maximum value is remembered. When testing a combination, the) 1802 SB 241 1792 1826 (value from the matrix is adjusted according to the correspondence between the length of the) 1826 SB 241 1851 1841 (English and the Norwegian sentences. The correspondence index is measured as the absolute) 1841 SB 241 1910 1584 (value of the difference in length divided by the mean of the two lengths. A good) 1584 SB 241 1969 1845 (correspondence \(low index\) increases the value in the matrix and a bad correspondence \(high) 1845 SB 241 2028 1864 (index\) decreases the value. When two sentences in one language are combined with one in the) 1864 SB 241 2087 1769 (other language, the combination is discarded if the correspondence index is too high. The) 1769 SB 241 2146 1838 (different thresholds for the index are read by the program. An example of the first entries on) 1838 SB 241 2205 1086 (the queue list for the matrix in table 4 is given in fig. 4.) 1086 SB 389 2264 518 (The program gives output) 518 SB 907 2264 973 ( in several forms. The form in figure 5 is used for) 973 SB 241 2323 1816 (proofreading and can also be used to detect new words which could be added to the anchor) 1816 SB 241 2382 188 (word list.) 188 SB 389 2441 1728 (The windows are moved in the texts with an overlap of at least five sentences. The two) 1728 SB 241 2500 1839 (windows will not always be moved forward the same number of sentences. This is due to the) 1839 SB 241 2559 948 (translator\222s tendency to skip and join sentences.) 948 SB 389 2618 1739 (While aligning the sentences, the headings, paragraphs and sentences are given a unique) 1739 SB 241 2677 1865 (identifier based on the identifier given in the last division id. Another output from the program) 1865 SB 241 2736 1715 (is the texts with these identifiers and an attribute giving the alignment for headings and) 1715 SB 241 2795 1817 (sentences. A sample of these files is given in figure 6. When there is no correspondence, the) 1817 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 241 2854 151 (corresp) 151 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 392 2854 975 ( attribute links to the nearest previous paragraph.) 975 SB 389 2913 1683 (The program will still run even if a sequence of 5-7 sentences is missing in one of the) 1683 SB 241 2972 1832 (texts. But in a few texts too many sentences are not translated and the rest of the output will) 1832 SB 241 3031 1877 (be out of phase. It is then possible manually to give a skip attribute to a sequence of sentences.) 1877 SB 1 #C statusdict begin /manualfeed false store end EJ RS %%PageTrailer %%PageResources: font Times-Italic %%+ font Times-Roman %%Page: 5 5 %%PageResources: (atend) SS 0 0 18 13 783 1169 300 SM 32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font 0 0 0 fC 241 258 205 (4. Results) 205 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 241 376 1764 (The program has so far been run on 51 pairs of texts \(a total of 89,000 sentences and 1.3) 1764 SB 241 435 1868 (million words\) and the results have been checked manually. The error rate is 1.9 per cent. One) 1868 SB 241 494 1739 (problematic text has an error rate of 19.5 per cent \(it is a very free translation\) and has) 1739 SB 241 553 1803 (consequently been excluded from the following statistics. Except for this text the error rate) 1803 SB 241 612 1680 (varies from 0 per cent to 7.2 per cent. The distribution of errors is shown in figure 7.) 1680 SB 389 671 1696 (In table 5 the results have been broken down into languages and text types. The total) 1696 SB 241 730 957 (number of sentences in each group is also given.) 957 SB 389 789 1684 (Table 6 gives statistics about how many sentences in the other language a sentence is) 1684 SB 241 848 586 (linked to \(the contents of the ) 586 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 827 848 151 (corresp) 151 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 978 848 210 ( attribute\).) 210 SB 389 907 1626 (Table 7 gives an overview of the kind of errors the program makes when aligning) 1626 SB 241 966 1859 (sentences. From this table we see that the most common error is where one sentence has been) 1859 SB 241 1025 1792 (linked to a wrong sentence. The next most common errors are where a zero or double link) 1792 SB 241 1084 1883 (should have been a single link. Links involving three or more sentences only account for about) 1883 SB 241 1143 1697 (ten per cent of the errors. So even if the program was improved to handle this kind of) 1697 SB 241 1202 1873 (alignment, the error rate would only drop from 1.9 to 1.7-1.8 per cent \(the net result would be) 1873 SB 241 1261 1269 (less than 10 per cent because of the introduction of new errors\).) 1269 SB 32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font 241 1379 1040 (5. Usage of the program on other language pairs.) 1040 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 241 1497 1825 (A French-Norwegian parallel corpus project has been started based on the ENPC. Currently) 1825 SB 241 1556 1859 (40 texts have been scanned and a few have also been aligned. A French-Norwegian version of) 1859 SB 241 1615 1864 (the anchor list has been made. The results are so far promising. The two anchor lists have also) 1864 SB 241 1674 1862 (been combined to make an English-French list. Work is in progress on a German, Spanish and) 1862 SB 241 1733 1829 (Italian version of the English-Norwegian list. The program has been tested on texts from the) 1829 SB 241 1792 1766 (European Corpus Initiative Multi lingual CD-ROM. The English-Swedish parallel corpus) 1766 SB 241 1851 1834 (project in Lund will also make use of the program and has made an English-Swedish anchor) 1834 SB 241 1910 71 (list.) 71 SB 389 1969 1739 (A word frequency program has been written to make a rank list with information on the) 1739 SB 241 2028 1883 (number of sentences in which a word is used and whether the word is used in several sentences) 1883 SB 241 2087 1830 (consecutively. In this list it is also marked \(with a #\) if a word is not found in the anchor list.) 1830 SB 241 2146 1708 (An example of the first part of such a list for a small Polish text is given in table 8. By) 1708 SB 241 2205 1871 (translating 100 of these words into English, a success rate of 96.6 per cent was achieved when) 1871 SB 241 2264 1220 (aligning an English-Polish text pair \(a total of 267 sentences\).) 1220 SB 32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font 241 2382 346 (6. Browsing tool) 346 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 241 2500 1824 (At the University of Oslo\222s department of British and American studies, a browsing tool has) 1824 SB 241 2559 1772 (been written by Jarle Ebeling for the ENPC. The aligned and proofread texts are indexed,) 1772 SB 241 2618 1823 (making it possible to search the text database for words in one of the languages and retrieve) 1823 SB 241 2677 1687 (the sentences together with their translations in the other language. Words in the two) 1687 SB 241 2736 728 (languages can be combined with the ) 728 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 969 2736 75 (and) 75 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1044 2736 143 ( or the ) 143 SB 32 0 0 50 50 0 0 0 45 /Times-Italic /font31 ANSIFont font 1187 2736 64 (not) 64 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 1251 2736 792 ( operator so that only pairs of sentences) 792 SB 241 2795 1860 (with a specific word in the first language together with \(or not together with\) another word in) 1860 SB 241 2854 1783 (the second language are found. Words can also be truncated and a distance \(in number of) 1783 SB 241 2913 929 (words\) between particular words can be given.) 929 SB 1 #C statusdict begin /manualfeed false store end EJ RS %%PageTrailer %%PageResources: font Times-Bold %%+ font Times-Italic %%+ font Times-Roman %%Page: 6 6 %%PageResources: (atend) SS 0 0 18 13 783 1169 300 SM 32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font 0 0 0 fC 241 258 289 (7. Conclusion) 289 SB 32 0 0 50 50 0 0 0 45 /Times-Roman /font32 ANSIFont font 241 376 1773 (Because of the nature of translation, automatic alignment will never be perfect. However,) 1773 SB 241 435 1826 (judging by our experience so far, it will be an invaluable aid in preparing parallel corpora for) 1826 SB 241 494 1855 (contrastive studies. Even where it fails, automatic alignment may be significant in highlighting) 1855 SB 241 553 1790 (cases where a less direct translation has been chosen, thus pinpointing differences between) 1790 SB 241 612 1580 (languages and perhaps even providing a window into the mind of the translator.) 1580 SB 1 #C statusdict begin /manualfeed false store end EJ RS %%PageTrailer %%PageResources: font Times-Bold %%+ font Times-Roman %%Page: 7 7 %%PageResources: (atend) SS 0 0 18 13 783 1169 300 SM 32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font 0 0 0 fC 241 317 390 (Figures and tables) 390 SB 32 0 0 40 40 0 0 0 36 /Times-Roman /font32 ANSIFont font 389 436 356 ('Because \227 because I ) 356 SB 32 0 0 40 40 0 0 0 37 /Times-Italic /font31 ANSIFont font 745 435 94 (know ) 94 SB 32 0 0 40 40 0 0 0 36 /Times-Roman /font32 ANSIFont font 839 436 1186 (we're never going to get to the bottom of that case. And there's nothing that) 1186 SB 241 484 1094 (irritates a policeman more than to feel that a case has gone unsolved.') 1094 SB 1166 532 40 (16) 40 SB 389 580 101 ('But...') 101 SB 389 629 742 ('And because,' he went on, ignoring me, 'becau) 742 SB 1131 629 430 (se it was so easy to see the ) 430 SB 32 0 0 40 40 0 0 0 37 /Times-Italic /font31 ANSIFont font 1561 628 126 (pattern ) 126 SB 32 0 0 40 40 0 0 0 36 /Times-Roman /font32 ANSIFont font 1687 629 130 (in it all.') 130 SB 32 0 0 40 40 0 0 0 31 /Courier /font0 ANSIFont font 241 723 1824 (
"Because ‐ because I know we 're never going) 1824 SB
241 765 1848 (to get to the bottom of that case.And there 's nothing that irritates) 1848 SB
241 807 1656 (a policeman more than to feel that a case has gone unsolved."
"But..."
"And because," he went on, ignoring me, "because it was so easy to see) 1824 SB
241 933 168 (the ) 984 SB
32 0 0 50 50 0 0 0 46 /Times-Bold /font29 ANSIFont font
241 1036 935 (Fig. 1. Original Text and Text with Markup) 935 SB
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gs 1688 1141 241 1143 CB
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241 480 1160 ( 2: Frowning and giving lectures.
Mama said, "This is our new house."
"Dette er det nye huset v\345rt," sa mammi.
William said, "How can it be new when it 's old?"
"Hvordan kan det v\346re nytt n\345r det er gammelt?" sa William.
Again the boys laughed. \(ST1.1.4.42\)) 1020 SB
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1261 1383 834 ( ) 291 SB
1261 1649 841 (Nok en gang br\370lte guttene av latter. \(ST1T.1.4.43\)) 1320 SB
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241 699 472 (watching television with Harris.) 472 SB
241 737 799 (It was election night,) 799 SB
241 775 509 (11.20 pm, Thursday 9 April 1992.) 509 SB
241 813 870 (Harris yawned, displaying) 870 SB
241 851 656 (his sharp teeth and liver-coloured tongue.The) 814 SB
241 1079 867 (computer men vanished from the screen to be replaced yet again by) 867 SB
241 1117 837 (anxious politicians being interviewed and Harris lost interest and) 837 SB
241 1155 400 (jumped back onto the bed.) 400 SB
241 1269 56 (.......) 56 SB
241 1345 270 ("She 's been well) 815 SB
241 1421 395 (paid for it," snapped Jack.) 395 SB
241 1459 828 ("And I could give) 828 SB
241 1497 793 (you the names of a dozen people I know personally who have) 793 SB
241 1535 820 (worked twice as hard for their country as your mother and have) 820 SB
241 1573 276 (been paid nowt.") 276 SB
241 1611 867 (Jack's use of the word) 867 SB
241 1649 708 ("nowt" came from his childhood, a time of poverty and) 708 SB
241 1687 832 (humiliation, when his political philosophy was formed.Dronningen l\345 i sengen) 829 SB
1261 661 538 (sin og s\345 p\345 TV sammen med Harris.) 538 SB
1261 699 862 (Det var valgnatt, klokken) 862 SB
1261 737 519 (var 23.20 torsdag den 9 april 1992.) 519 SB
1261 775 840 (Harris gjespet og blottet) 840 SB
1261 813 718 (de skarpe tennene og den leverfargede tungen.Dataherrene i floss) 807 SB
1261 1079 850 (forsvant fra skjermen og ble nok en gang avl\370st av intervjuer med) 850 SB
1261 1117 342 (bekymrede politikere.) 342 SB
1261 1155 773 (Harris mistet all) 773 SB
1261 1193 554 (interesse og hoppet opp i sengen igjen.) 554 SB
1261 1269 56 (.......) 56 SB
1261 1345 291 ("Hun har f\345tt godt) 834 SB
1261 1421 377 (betalt," bet Jack ham av.) 377 SB
1261 1459 837 ("Og jeg kunne gitt) 837 SB
1261 1497 861 (deg navnene p\345 et dusin hederskvinner, personlig bekjente av meg,) 861 SB
1261 1535 865 (som har arbeidet dobbelt s\345 iherdig for landet sitt som mora di uten) 865 SB
1261 1573 535 (\345 f\345 fem flate pence for jobben."Prins Charles gned) 841 SB
1261 1687 722 (seg over nesevingen med en manikyrert pekefinger.) 722 SB
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