PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (397 utterances, 994 words searched).

  1. doo shita n . %mov:"20212"_146434_147008 FAT · japanese_ishii/20212.cha, line 115 · Jun 2;02
  2. un, koko doo shita n . %mov:"20212"_169631_170848 FAT · japanese_ishii/20212.cha, line 124 · Jun 2;02
  3. doo sun no ? %mov:"20212"_519431_520347 FAT · japanese_ishii/20212.cha, line 329 · Jun 2;02
  4. tonneru doo sun nyatta ka nee . %mov:"20212"_610157_611720 FAT · japanese_ishii/20212.cha, line 380 · Jun 2;02
  5. doo shuru [: suru] ? %mov:"20212"_1545830_1546496 FAT · japanese_ishii/20212.cha, line 855 · Jun 2;02
  1. FATa, koko itai'itai shitan . %mov:"20212"_142915_144345
    FATaa, honto . %mov:"20212"_144345_146434
    FAT*FAT: doo shita n . %mov:"20212"_146434_147008
    FATdoko itai'itai shita n . %mov:"20212"_147008_149075
    FATdoko de shita no ? %mov:"20212"_149075_151048
  2. FATchigau no ? %mov:"20212"_163980_163980
    CHIkoko ya . %mov:"20212"_164997_169631
    FAT*FAT: un, koko doo shita n . %mov:"20212"_169631_170848
    CHIhora . %mov:"20212"_170848_172226
    CHIochi otchi . %mov:"20212"_172226_177025
  3. FATkotchi kinasai [<] . %mov:"20212"_516822_518549
    CHIiya . %mov:"20212"_518549_519431
    FAT*FAT: doo sun no ? %mov:"20212"_519431_520347
    FATton [: toru] no ? %mov:"20212"_520347_520879
    CHIhore, kita . %mov:"20212"_520879_527438
  4. FATtonneru tsukutte [<] . %mov:"20212"_606411_608298
    CHIhaai . %mov:"20212"_608298_610157
    FAT*FAT: tonneru doo sun nyatta ka nee . %mov:"20212"_610157_611720
    CHIatta yo . %mov:"20212"_611720_613354
    FATaa, soo sun no . %mov:"20212"_613354_618737
  5. FATmeme ga hairu zo . %mov:"20212"_1536970_1540315
    FATkanan yo,, meme ga haittara . %mov:"20212"_1540315_1545830
    FAT*FAT: doo shuru [: suru] ? %mov:"20212"_1545830_1546496
    CHIn ? %mov:"20212"_1546496_1547398
    FATmeme ga haittara kanan ne ? %mov:"20212"_1547398_1548903

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_ishii5.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20212.chaJun 2;2.12994555.03

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. doo5 · 100.0%