PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (254 utterances, 588 words searched).

  1. aa a, moo hashirenai wa . %mov:"20525"_713244_715507 FAT · japanese_ishii/20525.cha, line 373 · Jun 2;05
  2. moo hashirenai wa . %mov:"20525"_762401_763798 FAT · japanese_ishii/20525.cha, line 389 · Jun 2;05
  1. CHItoru . %mov:"20525"_712095_712844
    FATa ! %mov:"20525"_712844_713244
    FAT*FAT: aa a, moo hashirenai wa . %mov:"20525"_713244_715507
    CHIn [>] ? %mov:"20525"_715507_716029
    FATtora [<] +... %mov:"20525"_715507_716029
  2. FATa, aa a . %mov:"20525"_746263_758203
    FATaa a, torakku taiya nakunatchatta . %mov:"20525"_758203_762401
    FAT*FAT: moo hashirenai wa . %mov:"20525"_762401_763798
    FATdoo shoo ? %mov:"20525"_763798_764414
    FATkawaisoo . %mov:"20525"_764414_767371

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_ishii3.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20525.chaJun 2;5.25588223.40

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. moo2 · 100.0%