PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,047 utterances, 2,853 words searched).

  1. kore nan daro,, kore . %mov:"21006"_90417_91368 FAT · japanese_ishii/21006.cha, line 85 · Jun 2;10
  2. nan daro na . %mov:"21006"_557190_558139 FAT · japanese_ishii/21006.cha, line 382 · Jun 2;10
  3. nan daro na,, kore [<] ? %mov:"21006"_561091_564962 FAT · japanese_ishii/21006.cha, line 386 · Jun 2;10
  4. kore wa nan daro ? %mov:"21006"_695251_696047 FAT · japanese_ishii/21006.cha, line 461 · Jun 2;10
  5. kore wa nan daro na . %mov:"21006"_1227531_1228883 FAT · japanese_ishii/21006.cha, line 815 · Jun 2;10
  6. sore wa nan daro na . %mov:"21006"_1460965_1462167 FAT · japanese_ishii/21006.cha, line 985 · Jun 2;10
  7. nan daro . %mov:"21006"_1530991_1531451 FAT · japanese_ishii/21006.cha, line 1032 · Jun 2;10
  8. nan daro,, are . %mov:"21006"_1632060_1632698 FAT · japanese_ishii/21006.cha, line 1100 · Jun 2;10
  9. nan daro . %mov:"21006"_2984478_2985317 FAT · japanese_ishii/21006.cha, line 1889 · Jun 2;10
  1. japanese_ishii/21006.cha, line 85 · Jun, 2;10.06
    FATa, sore hikooki ya nee . %mov:"21006"_87180_88567
    CHIguun@o juun@o . %mov:"21006"_88567_90417
    FAT*FAT: kore nan daro,, kore . %mov:"21006"_90417_91368
    CHIkamotsuressha . %mov:"21006"_91368_92884
    FATa, homma . %mov:"21006"_92884_93960
  2. japanese_ishii/21006.cha, line 382 · Jun, 2;10.06
    CHIun . %mov:"21006"_556210_556626
    FAThee . %mov:"21006"_556626_557190
    FAT*FAT: nan daro na . %mov:"21006"_557190_558139
    CHIkore wa # torakku mitai de . %mov:"21006"_558139_561091
    CHIkore torakku nani noseten no [>] ? %mov:"21006"_561091_564962
  3. japanese_ishii/21006.cha, line 386 · Jun, 2;10.06
    CHIkore wa # torakku mitai de . %mov:"21006"_558139_561091
    CHIkore torakku nani noseten no [>] ? %mov:"21006"_561091_564962
    FAT*FAT: nan daro na,, kore [<] ? %mov:"21006"_561091_564962
    CHIdoa [= door] noseten no yatsu ya,, kore . %mov:"21006"_564962_569236
    FATxxx ookii nimotsu ya nee .
  4. japanese_ishii/21006.cha, line 461 · Jun, 2;10.06
    CHIugyuun@o [<] . %mov:"21006"_693712_694588
    FATnoboru no . %mov:"21006"_694588_695251
    FAT*FAT: kore wa nan daro ? %mov:"21006"_695251_696047
    CHItorakku no enjin ga an ne [>] . %mov:"21006"_696047_699139
    FATenjin ga aru ka [<] . %mov:"21006"_696047_699139
  5. japanese_ishii/21006.cha, line 815 · Jun, 2;10.06
    FATkore wa byooin no basu ya . %mov:"21006"_1224545_1225922
    CHIkore wa ? %mov:"21006"_1225922_1227531
    FAT*FAT: kore wa nan daro na . %mov:"21006"_1227531_1228883
    FATshimbun # shimbun no basu ya . %mov:"21006"_1231058_1231058
    CHIkore wa ? %mov:"21006"_1231058_1232046
  6. japanese_ishii/21006.cha, line 985 · Jun, 2;10.06
    FATn [>] ? %mov:"21006"_1459086_1460965
    CHIkotchi [<] no kita no . %mov:"21006"_1459086_1460965
    FAT*FAT: sore wa nan daro na . %mov:"21006"_1460965_1462167
    FATkore mo soo yaro ? %mov:"21006"_1462167_1462794
    CHIhyun@o . %mov:"21006"_1462794_1463769
  7. japanese_ishii/21006.cha, line 1032 · Jun, 2;10.06
    CHInani ya . %mov:"21006"_1529020_1529796
    CHInani ya,, kore . %mov:"21006"_1529796_1530991
    FAT*FAT: nan daro . %mov:"21006"_1530991_1531451
    CHIawaii [: kawaii] naa,, kore . %mov:"21006"_1531451_1532729
    FATe ? %mov:"21006"_1532729_1533226
  8. japanese_ishii/21006.cha, line 1100 · Jun, 2;10.06
    CHInani ya . %mov:"21006"_1625911_1630789
    CHInani kita yaro . %mov:"21006"_1630789_1632060
    FAT*FAT: nan daro,, are . %mov:"21006"_1632060_1632698
    CHIowatta . %mov:"21006"_1632698_1636219
    FATowatta ka . %mov:"21006"_1636219_1636963
  9. japanese_ishii/21006.cha, line 1889 · Jun, 2;10.06
    CHInani ya,, kore . %mov:"21006"_2980777_2982794
    CHInaa . %mov:"21006"_2982794_2984478
    FAT*FAT: nan daro . %mov:"21006"_2984478_2985317
    CHInani ya,, kore . %mov:"21006"_2985317_2990375
    CHInaa . %mov:"21006"_2990375_2991591

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_ishii3.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21006.chaJun 2;10.062,853993.15

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. daro9 · 100.0%