PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (465 utterances, 1,228 words searched).

  1. dore ton [: toru] no . %mov:"30523"_657433_659200 FAT · japanese_ishii/30523.cha, line 291 · Jun 3;05
  2. dore ton no [<] . %mov:"30523"_659200_660848 FAT · japanese_ishii/30523.cha, line 293 · Jun 3;05
  3. dore ton no . %mov:"30523"_660848_661396 FAT · japanese_ishii/30523.cha, line 294 · Jun 3;05
  4. dore ton no . %mov:"30523"_661396_663294 FAT · japanese_ishii/30523.cha, line 295 · Jun 3;05
  5. taiya ton [: toru] no ? %mov:"30523"_1712959_1716439 FAT · japanese_ishii/30523.cha, line 642 · Jun 3;05
  1. CHIhikooki ? %mov:"30523"_653350_654584
    FATkotchi suwarana . %mov:"30523"_654584_657433
    FAT*FAT: dore ton [: toru] no . %mov:"30523"_657433_659200
    CHIouchi dekita n [>] ? %mov:"30523"_659200_660848
    FATdore ton no [<] . %mov:"30523"_659200_660848
  2. FATdore ton [: toru] no . %mov:"30523"_657433_659200
    CHIouchi dekita n [>] ? %mov:"30523"_659200_660848
    FAT*FAT: dore ton no [<] . %mov:"30523"_659200_660848
    FATdore ton no . %mov:"30523"_660848_661396
    FATdore ton no . %mov:"30523"_661396_663294
  3. CHIouchi dekita n [>] ? %mov:"30523"_659200_660848
    FATdore ton no [<] . %mov:"30523"_659200_660848
    FAT*FAT: dore ton no . %mov:"30523"_660848_661396
    FATdore ton no . %mov:"30523"_661396_663294
    CHIkore ya . %mov:"30523"_663294_664061
  4. FATdore ton no [<] . %mov:"30523"_659200_660848
    FATdore ton no . %mov:"30523"_660848_661396
    FAT*FAT: dore ton no . %mov:"30523"_661396_663294
    CHIkore ya . %mov:"30523"_663294_664061
    CHIhata mitai ya . %mov:"30523"_664061_666285
  5. FATdoko ga toren nya te ? %mov:"30523"_1709148_1711660
    CHItaiya . %mov:"30523"_1711660_1712959
    FAT*FAT: taiya ton [: toru] no ? %mov:"30523"_1712959_1716439
    CHIun . %mov:"30523"_1716439_1716846
    CHIchau . %mov:"30523"_1716846_1717790

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_ishii4.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30523.chaJun 3;05.231,228554.07

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. ton5 · 100.0%