PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (785 utterances, 2,003 words searched).

  1. nande yaro . %mov:"21029"_506611_511861 FAT · japanese_ishii/21029.cha, line 309 · Jun 2;10
  2. handoru tsuitehen yaro,, sotchi . %mov:"21029"_1068021_1069606 FAT · japanese_ishii/21029.cha, line 542 · Jun 2;10
  3. kirikiri@o yuu yaro ? %mov:"21029"_1289410_1292529 FAT · japanese_ishii/21029.cha, line 633 · Jun 2;10
  4. yuuta yaro ? %mov:"21029"_1300039_1301181 FAT · japanese_ishii/21029.cha, line 637 · Jun 2;10
  5. koo yaro ? %mov:"21029"_1444670_1445285 FAT · japanese_ishii/21029.cha, line 718 · Jun 2;10
  6. koo yaro . %mov:"21029"_2056568_2059550 FAT · japanese_ishii/21029.cha, line 962 · Jun 2;10
  7. soko mo dame yaro naa . %mov:"21029"_2214183_2215666 FAT · japanese_ishii/21029.cha, line 1053 · Jun 2;10
  8. nan yaro naa ? %mov:"21029"_2377402_2378282 FAT · japanese_ishii/21029.cha, line 1140 · Jun 2;10
  9. issho yaro ? %mov:"21029"_3129552_3131179 FAT · japanese_ishii/21029.cha, line 1475 · Jun 2;10
  10. issho yaro ? %mov:"21029"_3304441_3305085 FAT · japanese_ishii/21029.cha, line 1574 · Jun 2;10
  1. FATa, homma . %mov:"21029"_505192_505699
    FATdenki tsuiten naa . %mov:"21029"_505699_506611
    FAT*FAT: nande yaro . %mov:"21029"_506611_511861
    FATa, koko no denki ya . %mov:"21029"_511861_514462
    FATkoko no # kono denki ya . %mov:"21029"_514462_516431
  2. CHIhai, chiisai no hoo ga hoshii . %mov:"21029"_1063983_1066624
    FATkotchi no hoo ga ii wa . %mov:"21029"_1066624_1068021
    FAT*FAT: handoru tsuitehen yaro,, sotchi . %mov:"21029"_1068021_1069606
    FAThandoru tsuiteru ka ? %mov:"21029"_1069606_1073559
    CHIkurai ya,, moo . %mov:"21029"_1073559_1076485
  3. FAThora . %mov:"21029"_1285500_1288760
    FATsutoppu ! %mov:"21029"_1288760_1289410
    FAT*FAT: kirikiri@o yuu yaro ? %mov:"21029"_1289410_1292529
    FATyutta ka ? %mov:"21029"_1292529_1294073
    CHIhai, koo ? %mov:"21029"_1294073_1298498
  4. CHIhai, koo ? %mov:"21029"_1294073_1298498
    FATsoo [/] soo, hora [/] hora . %mov:"21029"_1298498_1300039
    FAT*FAT: yuuta yaro ? %mov:"21029"_1300039_1301181
    FATsoo [/] soo [/] soo . %mov:"21029"_1301181_1302031
    FATsoshitara hayaku naru no ya . %mov:"21029"_1302031_1303106
  5. CHInaotten [: noshiten] ne, hora . %mov:"21029"_1440699_1443139
    FATkoo shitara uun@o yuu nya de . %mov:"21029"_1443139_1444670
    FAT*FAT: koo yaro ? %mov:"21029"_1444670_1445285
    CHInani yuuta ? %mov:"21029"_1445285_1457766
    FATuun@o yuuta . %mov:"21029"_1457766_1459135
  6. CHIkyu@o tto oshite [>] . %mov:"21029"_2055412_2056568
    FATun [<] . %mov:"21029"_2055412_2056568
    FAT*FAT: koo yaro . %mov:"21029"_2056568_2059550
    CHIa, are ? %mov:"21029"_2059550_2063474
    FATkuttsuita . %mov:"21029"_2063474_2064671
  7. FATsonna toko hittsukanai wa . %mov:"21029"_2212033_2213622
    CHIkoko wa ? %mov:"21029"_2213622_2214183
    FAT*FAT: soko mo dame yaro naa . %mov:"21029"_2214183_2215666
    CHIshiiru ga hatten ne . %mov:"21029"_2215666_2216939
    FATun, koko ya . %mov:"21029"_2216939_2218209
  8. CHInani yo # nani kore ? %mov:"21029"_2373594_2375724
    CHInani,, kore ? %mov:"21029"_2375724_2377402
    FAT*FAT: nan yaro naa ? %mov:"21029"_2377402_2378282
    CHImoo, akan yan kaa . %mov:"21029"_2378282_2380709
    CHIpatokaa ga kega suru yan kaa . %mov:"21029"_2380709_2384732
  9. CHIkore wa ? %mov:"21029"_3126830_3127745
    FATkore mo Fuji . %mov:"21029"_3127745_3129552
    FAT*FAT: issho yaro ? %mov:"21029"_3129552_3131179
    CHIkore wa ? %mov:"21029"_3131179_3132580
    CHIkore . %mov:"21029"_3132580_3133614
  10. FATsoo . %mov:"21029"_3301632_3302569
    FATkore mo no # ri # mo # no te kaitaaru . %mov:"21029"_3302469_3304641
    FAT*FAT: issho yaro ? %mov:"21029"_3304441_3305085
    CHIno # ri # mo # no [/] no # ri # mo # no . %mov:"21029"_3305085_3308753
    CHIkotchi wa ? %mov:"21029"_3308753_3311182

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_ishii4.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21029.chaJun 2;10.292,00310104.99

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. yaro10 · 100.0%