PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (820 utterances, 2,162 words searched).

  1. sonna zembu mottekondemo [: mottekonakutemo] [<] . %mov:"20720"_35297_3809… FAT · japanese_ishii/20720.cha, line 29 · Jun 2;07
  2. moo sonna urusai . %mov:"20720"_264255_274391 FAT · japanese_ishii/20720.cha, line 145 · Jun 2;07
  3. sonna shitara okoru wa . %mov:"20720"_315108_316049 FAT · japanese_ishii/20720.cha, line 170 · Jun 2;07
  4. sonna usagisan nai wa . %mov:"20720"_817819_819518 FAT · japanese_ishii/20720.cha, line 458 · Jun 2;07
  5. sonna shitara dame yan ka . %mov:"20720"_1526894_1529510 FAT · japanese_ishii/20720.cha, line 844 · Jun 2;07
  6. aa, sonna shite iku no,, mootaabooto wa ? %mov:"20720"_1656298_1658324 FAT · japanese_ishii/20720.cha, line 926 · Jun 2;07
  7. sonna toko shitara ochiru, Junkun . %mov:"20720"_2758487_2760824 FAT · japanese_ishii/20720.cha, line 1389 · Jun 2;07
  1. CHIjibun de, omotai wa . %mov:"20720"_33476_35297
    CHIhayo [: hayaku] # motte [>] . %mov:"20720"_35297_38098
    FAT*FAT: sonna zembu mottekondemo [: mottekonakutemo] [<] . %mov:"20720"_35297_38098
    FATkoko ni aru yan,, tsumiki, hore . %mov:"20720"_38098_39244
    FATkoko ni aru yan [>] . %mov:"20720"_39244_41813
  2. CHIshoode [?] . %mov:"20720"_252657_262055
    FATJunkun ! %mov:"20720"_262055_264255
    FAT*FAT: moo sonna urusai . %mov:"20720"_264255_274391
    FATdame yo . %mov:"20720"_274391_275206
    CHIxxx . %mov:"20720"_275206_277867
  3. FAThai ? %mov:"20720"_307886_308365
    CHIshenshe wa na # okon [: okoru] no # shenshe . %mov:"20720"_308365_315108
    FAT*FAT: sonna shitara okoru wa . %mov:"20720"_315108_316049
    CHIokonnai . %mov:"20720"_316049_317435
    FATn ? %mov:"20720"_317435_318058
  4. CHIkore ushagishan [: usagisan] ya . %mov:"20720"_814408_816482
    FATe ? %mov:"20720"_816482_816482
    FAT*FAT: sonna usagisan nai wa . %mov:"20720"_817819_819518
    FATnan daro naa ? %mov:"20720"_819518_819518
    CHIwaa, kore nani ? %mov:"20720"_820485_823677
  5. FATakan xxx . %mov:"20720"_1522397_1523345
    FAThore, itai yaro ? %mov:"20720"_1523345_1526894
    FAT*FAT: sonna shitara dame yan ka . %mov:"20720"_1526894_1529510
    CHIakan . %mov:"20720"_1529510_1531021
    CHIkotchi oitoke . %mov:"20720"_1531021_1532961
  6. FATun . %mov:"20720"_1654715_1655273
    CHIjabon@o ! %mov:"20720"_1655273_1656298
    FAT*FAT: aa, sonna shite iku no,, mootaabooto wa ? %mov:"20720"_1656298_1658324
    CHIjabon@o uu@o ! %mov:"20720"_1658324_1660307
    FATsugoi nee . %mov:"20720"_1660307_1660968
  7. CHIdoo shoo . %mov:"20720"_2748539_2750811
    CHIataru wa . %mov:"20720"_2750811_2758487
    FAT*FAT: sonna toko shitara ochiru, Junkun . %mov:"20720"_2758487_2760824
    CHIochinai de . %mov:"20720"_2760824_2762445
    FATochiru wa . %mov:"20720"_2762445_2763302

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_ishii3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20720.chaJun 2;7.202,162773.24

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. sonna7 · 100.0%