PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

6.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (629 utterances, 1,500 words searched).

  1. a, kore mo piipopiipo@o yuu ne [>] . %mov:"20609"_209357_212217 FAT · japanese_ishii/20609.cha, line 145 · Jun 2;06
  2. ue torechatta ne ? %mov:"20609"_218129_219175 FAT · japanese_ishii/20609.cha, line 150 · Jun 2;06
  3. hai, oitokoo ,, abunai kara ne ? %mov:"20609"_502057_503635 FAT · japanese_ishii/20609.cha, line 333 · Jun 2;06
  4. soo ya ne . %mov:"20609"_912650_913168 FAT · japanese_ishii/20609.cha, line 559 · Jun 2;06
  5. nde hora koo yatte suu@o to # suu@o # ne ? %mov:"20609"_981643_985828 FAT · japanese_ishii/20609.cha, line 608 · Jun 2;06
  6. issho ya ,, kore to, ne ? %mov:"20609"_1007628_1009655 FAT · japanese_ishii/20609.cha, line 620 · Jun 2;06
  7. koo sun ne . %mov:"20609"_1019933_1021809 FAT · japanese_ishii/20609.cha, line 629 · Jun 2;06
  8. wa, ookii torakku ya ne ,, kore . %mov:"20609"_1124884_1128029 FAT · japanese_ishii/20609.cha, line 690 · Jun 2;06
  9. chotto koko ga chigau ne ? %mov:"20609"_1290239_1296768 FAT · japanese_ishii/20609.cha, line 797 · Jun 2;06
  10. koko ga chotto chigau ne ? %mov:"20609"_1297509_1298875 FAT · japanese_ishii/20609.cha, line 799 · Jun 2;06
  1. FATPorushe . %mov:"20609"_206712_207298
    CHIpiipopiipo@o yuen [: yuu] ne . %mov:"20609"_207298_209357
    FAT*FAT: a, kore mo piipopiipo@o yuu ne [>] . %mov:"20609"_209357_212217
    CHIxxx # hore [<] . %mov:"20609"_209357_212217
    FATkore mo piipopiipo@o yuu yaro ? %mov:"20609"_212217_214059
  2. CHIkore piipopiipo@o xxx nai zo, hore . %mov:"20609"_214059_217709
    FATa, honto . %mov:"20609"_217709_218129
    FAT*FAT: ue torechatta ne ? %mov:"20609"_218129_219175
    CHItorechatta . %mov:"20609"_219175_220389
    FATun . %mov:"20609"_220389_220812
  3. CHIamunai ne [>] . %mov:"20609"_499602_502057
    FATxxx, hai [<] . %mov:"20609"_499602_502057
    FAT*FAT: hai, oitokoo ,, abunai kara ne ? %mov:"20609"_502057_503635
    FAToitokoo naa . %mov:"20609"_503635_505455
    FATnani ga kowareta n daro ? %mov:"20609"_505455_507663
  4. FATun . %mov:"20609"_911032_911424
    CHIkore mo torakku . %mov:"20609"_911424_912650
    FAT*FAT: soo ya ne . %mov:"20609"_912650_913168
    CHIkore nani . %mov:"20609"_913168_914122
    FATkore torakutaa ya . %mov:"20609"_914122_916027
  5. FATkowareta, hore . %mov:"20609"_978496_979023
    FATkoo yatte takusan # jidoosha tsumu desho ? %mov:"20609"_979023_981643
    FAT*FAT: nde hora koo yatte suu@o to # suu@o # ne ? %mov:"20609"_981643_985828
    FATissho yaro ? %mov:"20609"_985828_987290
    FATkore to issho ya . %mov:"20609"_987290_989336
  6. CHIshuu@o . %mov:"20609"_1001103_1006786
    FATsoo ya, so ya [/] so ya . %mov:"20609"_1006786_1007628
    FAT*FAT: issho ya ,, kore to, ne ? %mov:"20609"_1007628_1009655
    CHIissho ne ,, kore to ? %mov:"20609"_1009655_1011623
    FATun . %mov:"20609"_1011623_1012005
  7. CHIashiu [: hashiru] kedo . %mov:"20609"_1016315_1017095
    FATya, katai . %mov:"20609"_1017095_1019933
    FAT*FAT: koo sun ne . %mov:"20609"_1019933_1021809
    FATkoo yaro ? %mov:"20609"_1021809_1022635
    CHIshita ? %mov:"20609"_1022635_1025546
  8. FAThai, kotchi miyoo . %mov:"20609"_1122897_1124141
    FATtsugi nan yatta ? %mov:"20609"_1124141_1124884
    FAT*FAT: wa, ookii torakku ya ne ,, kore . %mov:"20609"_1124884_1128029
    CHIto [//] <tora> [>] +... %mov:"20609"_1128029_1131355
    FATsugoi ookii [<] . %mov:"20609"_1128029_1131355
  9. CHIkore to . %mov:"20609"_1288205_1289713
    FATun . %mov:"20609"_1289713_1290239
    FAT*FAT: chotto koko ga chigau ne ? %mov:"20609"_1290239_1296768
    CHIn ? %mov:"20609"_1296768_1297509
    FATkoko ga chotto chigau ne ? %mov:"20609"_1297509_1298875
  10. FATchotto koko ga chigau ne ? %mov:"20609"_1290239_1296768
    CHIn ? %mov:"20609"_1296768_1297509
    FAT*FAT: koko ga chotto chigau ne ? %mov:"20609"_1297509_1298875
    FAThora .%mov:"20609"_1298875_1299565
    CHIhore . %mov:"20609"_1299565_1302438

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii6.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20609.chaJun 2;6.091,50010106.67

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. ne10 · 100.0%