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116 lines
3.4 KiB
Python
116 lines
3.4 KiB
Python
# trim original OGNT to mininum data
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import re
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# ══════ trim interlinear ═══════════════════════
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inputFile = "./OpenGNT_version3_3.csv"
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outputFile = "./tmp/OGNT-trimmed.txt"
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# Trimming OGNT to minimum dataset required for interlinear
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# 1-OGNTsort 2-TANTTsort 3-FEATURESsort1- 4-LevinsohnClauseID 5-OTquotation 〔6-BGBsortI｜7-LTsortI｜8-STsortI〕 〔9-Book｜10-Chapter｜11-Verse〕 〔12-OGNTk｜13-OGNTu｜14-OGNTa｜15-lexeme｜16-rmac｜17-sn〕 〔18-BDAGentry｜19-EDNTentry｜20-MounceEntry｜21-GoodrickKohlenbergerNumbers｜22-LN-LouwNidaNumbers〕 〔23-transSBLcap｜24-transSBL｜25-modernGreek｜26-Fonética_Transliteración〕 〔27-TBESG｜28-IT｜29-LT｜30-ST｜31-Español〕 〔32-PMpWord｜33-PMfWord〕 〔34-Note｜35-Mvar｜36-Mlexeme｜37-Mrmac｜38-Msn｜39-MTBESG〕
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f = open(inputFile,'r',encoding="utf-8")
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Lines = f.readlines()[1:]
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f.close()
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f = open(outputFile,'w',encoding="utf_8_sig")
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for line in Lines:
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#print (line)
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line = line.replace('\t〔','\t')
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line = line.replace('〕\t','\t')
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line = line.replace('｜','\t')
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x = re.split("\t", line)
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#
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x[27] = x[27].replace(',','')
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x[27] = x[27].replace(';','')
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x[27] = x[27].replace('.','')
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x[27] = x[27].replace(' —','')
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x[27] = x[27].replace(':','')
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#
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x[31] = x[31].replace('<pm>','')
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x[31] = x[31].replace('</pm>',' ')
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x[31] = x[31].replace('[[','⟦')
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x[32] = x[32].replace('<pm>',' ')
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x[32] = x[32].replace('</pm>','')
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x[32] = x[32].replace(']]','⟧')
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#
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x[8] = x[8].replace('40', 'Mat')
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x[8] = x[8].replace('41', 'Mar')
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x[8] = x[8].replace('42', 'Luk')
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x[8] = x[8].replace('43', 'Joh')
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x[8] = x[8].replace('44', 'Act')
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x[8] = x[8].replace('45', 'Rom')
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x[8] = x[8].replace('46', '1Co')
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x[8] = x[8].replace('47', '2Co')
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x[8] = x[8].replace('48', 'Gal')
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x[8] = x[8].replace('49', 'Eph')
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x[8] = x[8].replace('50', 'Php')
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x[8] = x[8].replace('51', 'Col')
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x[8] = x[8].replace('52', '1Th')
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x[8] = x[8].replace('53', '2Th')
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x[8] = x[8].replace('54', '1Ti')
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x[8] = x[8].replace('55', '2Ti')
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x[8] = x[8].replace('56', 'Tit')
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x[8] = x[8].replace('57', 'Phm')
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x[8] = x[8].replace('58', 'Heb')
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x[8] = x[8].replace('59', 'Jas')
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x[8] = x[8].replace('60', '1Pe')
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x[8] = x[8].replace('61', '2Pe')
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x[8] = x[8].replace('62', '1Jo')
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x[8] = x[8].replace('63', '2Jo')
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x[8] = x[8].replace('64', '3Jo')
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x[8] = x[8].replace('65', 'Jud')
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x[8] = x[8].replace('66', 'Rev')
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#
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f.write (x[0]+'\t'+x[8]+' '+x[9]+':'+x[10]+'\t'+x[31]+x[13]+x[32]+'\t'+x[14]+'\t'+x[15]+'\t'+x[26]+'\t'+x[27]+'\n')
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f.close()
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# ══════ trim Chinese glosses ═══════════════════════
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inputFile = "./OpenGNT_interlinear_CUVtc.csv"
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outputFile = "./tmp/CUV-Glosses.txt"
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f = open(inputFile,'r',encoding="utf-8")
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newData = f.read()
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f.close()
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searchReplace = (
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('｛\d+＃',''),
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('｜\d+｝',''),
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('〈\d+＊','⸂'),
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('｜\d+〉','⸃'),
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('；',''),
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('，',''),
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('。',''),
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('．',''),
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(',',''),
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('〔.*?〕',''),
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('【.*?】',''),
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('\[.*?\]',''),
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('⸃⸂',''),
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('\(bcc.*?\)',''),
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('\(.*?\)',''),
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('\(\*bcc.*?\)',''),
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('\(=bcc.*?\)',''),
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('（\*bcc.*?）',''),
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(' ',''),
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('\*','⸂'),
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('\t⸂','\t'),
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('⸃\n','\n'),
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('\d+\t\n',''),
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(' ','')
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)
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for search, replace in searchReplace:
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newData = re.sub (search, replace, newData)
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f = open(outputFile,'w',encoding="utf_8_sig")
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f.write(newData)
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f.close()
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