PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (405 utterances, 996 words searched).

  1. hoora, takusan naranda zoo . %mov:"20320"_359281_364894 FAT · japanese_ishii/20320.cha, line 198 · Jun 2;03
  2. hoora, batan@o shita . %mov:"20320"_968861_970709 FAT · japanese_ishii/20320.cha, line 483 · Jun 2;03
  1. japanese_ishii/20320.cha, line 198 · Jun, 2;3.20
    FATpatokaa, soosoo . %mov:"20320"_356459_357914
    CHIpatoka . %mov:"20320"_357914_359281
    FAT*FAT: hoora, takusan naranda zoo . %mov:"20320"_359281_364894
    FATsugoi naa . %mov:"20320"_364894_367418
    CHIbuu itta . %mov:"20320"_367418_369120
  2. japanese_ishii/20320.cha, line 483 · Jun, 2;3.20
    FATkaijuu ga ochiru . %mov:"20320"_964981_966648
    FATochinai ? %mov:"20320"_966648_968861
    FAT*FAT: hoora, batan@o shita . %mov:"20320"_968861_970709
    FATkore nani,, kore ? %mov:"20320"_970709_970709
    CHIn ? %mov:"20320"_972255_973644

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_ishii2.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20320.chaJun 2;3.20996222.01

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. hoora2 · 100.0%