PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (753 utterances, 1,884 words searched).

  1. omizu doo sun no . %mov:"20713"_291511_292670 FAT · japanese_ishii/20713.cha, line 224 · Jun 2;07
  2. omizu ga detekite # omizu doo sun no,, shooboojidoosha ? %mov:"20713"_305343_307916 FAT · japanese_ishii/20713.cha, line 234 · Jun 2;07
  3. basu doo yaro . %mov:"20713"_939588_940766 FAT · japanese_ishii/20713.cha, line 533 · Jun 2;07
  4. kore wa doo ka naa ? %mov:"20713"_1002428_1004619 FAT · japanese_ishii/20713.cha, line 567 · Jun 2;07
  5. kore wa doo ka na ? %mov:"20713"_1004619_1007578 FAT · japanese_ishii/20713.cha, line 568 · Jun 2;07
  6. sore doo yaro . %mov:"20713"_1021164_1021164 FAT · japanese_ishii/20713.cha, line 583 · Jun 2;07
  7. kore wa doo yaro naa ? %mov:"20713"_1047810_1050256 FAT · japanese_ishii/20713.cha, line 596 · Jun 2;07
  8. sore wa doo ka na ? %mov:"20713"_1972619_1974049 FAT · japanese_ishii/20713.cha, line 1038 · Jun 2;07
  9. doo sun no ka na ? %mov:"20713"_2055430_2056869 FAT · japanese_ishii/20713.cha, line 1078 · Jun 2;07
  1. japanese_ishii/20713.cha, line 224 · Jun, 2;7.13
    CHIgachan@o gachan@o omizu detekun no . %mov:"20713"_287248_290506
    FATomizu detekun no . %mov:"20713"_290506_291511
    FAT*FAT: omizu doo sun no . %mov:"20713"_291511_292670
    CHIkoko de koo # jaajaa@o koko de # jaajaa@o de . %mov:"20713"_292670_297815
    FATun . %mov:"20713"_297815_298241
  2. japanese_ishii/20713.cha, line 234 · Jun, 2;7.13
    FATe ? %mov:"20713"_303261_303695
    CHIdetekun no,, omizu ga . %mov:"20713"_303695_305343
    FAT*FAT: omizu ga detekite # omizu doo sun no,, shooboojidoosha ? %mov:"20713"_305343_307916
    CHIkoko ya . %mov:"20713"_307916_309405
    FATouchi ga nee +... %mov:"20713"_309405_310705
  3. japanese_ishii/20713.cha, line 533 · Jun, 2;7.13
    FATsore wa tooranai nee . %mov:"20713"_935367_937586
    CHIbasu wa ? %mov:"20713"_937586_939588
    FAT*FAT: basu doo yaro . %mov:"20713"_939588_940766
    FATtooru ka na ? %mov:"20713"_940766_942060
    FATtootta [/] tootta . %mov:"20713"_942060_947933
  4. japanese_ishii/20713.cha, line 567 · Jun, 2;7.13
    FATun . %mov:"20713"_997298_997874
    CHIhoore . %mov:"20713"_997874_1002428
    FAT*FAT: kore wa doo ka naa ? %mov:"20713"_1002428_1004619
    FATkore wa doo ka na ? %mov:"20713"_1004619_1007578
    CHIhai . %mov:"20713"_1007578_1008038
  5. japanese_ishii/20713.cha, line 568 · Jun, 2;7.13
    CHIhoore . %mov:"20713"_997874_1002428
    FATkore wa doo ka naa ? %mov:"20713"_1002428_1004619
    FAT*FAT: kore wa doo ka na ? %mov:"20713"_1004619_1007578
    CHIhai . %mov:"20713"_1007578_1008038
    FATataru ka ? %mov:"20713"_1008038_1008646
  6. japanese_ishii/20713.cha, line 583 · Jun, 2;7.13
    FATdetekita ? %mov:"20713"_1018973_1019596
    CHIdetekita . %mov:"20713"_1019596_1021164
    FAT*FAT: sore doo yaro . %mov:"20713"_1021164_1021164
    CHIchotto ataru wa . %mov:"20713"_1021885_1026227
    FATchotto ataru ka . %mov:"20713"_1026227_1027199
  7. japanese_ishii/20713.cha, line 596 · Jun, 2;7.13
    FATaa, tootta [/] tootta . %mov:"20713"_1041539_1044936
    CHIuu@o tto . %mov:"20713"_1044936_1047810
    FAT*FAT: kore wa doo yaro naa ? %mov:"20713"_1047810_1050256
    CHIai ! %mov:"20713"_1050256_1052232
    CHIpii@o . %mov:"20713"_1052232_1052232
  8. japanese_ishii/20713.cha, line 1038 · Jun, 2;7.13
    FAThoora, yoo [: yoku] iku . %mov:"20713"_1966447_1971040
    CHIhai, kore ya . %mov:"20713"_1971040_1972619
    FAT*FAT: sore wa doo ka na ? %mov:"20713"_1972619_1974049
    FATkore akan naa . %mov:"20713"_1974049_1976096
    FATkore wa ? %mov:"20713"_1976096_1980559
  9. japanese_ishii/20713.cha, line 1078 · Jun, 2;7.13
    FATxxx ? %mov:"20713"_2052357_2054209
    CHIn ? %mov:"20713"_2054209_2055430
    FAT*FAT: doo sun no ka na ? %mov:"20713"_2055430_2056869
    CHIkotchi . %mov:"20713"_2056869_2059204
    FATsoo da . %mov:"20713"_2059204_2060567

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_ishii4.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20713.chaJun 2;7.131,884994.78

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. doo9 · 100.0%