PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (221 utterances, 545 words searched).

  1. sonna (ni) shitara moo gohon minai zoo . %mov:"10600"_406204_407994 FAT · japanese_ishii/10600.cha, line 324 · Jun 1;06
  2. a, buubuu@o atta zoo . %mov:"10600"_506016_507414 FAT · japanese_ishii/10600.cha, line 393 · Jun 1;06
  1. FATkoree ! %mov:"10600"_404093_404890
    CHIxxx ! %mov:"10600"_404890_406204
    FAT*FAT: sonna (ni) shitara moo gohon minai zoo . %mov:"10600"_406204_407994
    FATare ? %mov:"10600"_407994_410997
    CHIbuububuute . %mov:"10600"_410997_413123
  2. CHIuu uu uu <uu> [>] . %mov:"10600"_503365_506016
    FATuu uu uu uu@o [<] . %mov:"10600"_503365_506016
    FAT*FAT: a, buubuu@o atta zoo . %mov:"10600"_506016_507414
    FATae [: are] ? %mov:"10600"_507414_513420
    FATae [: are] ? %mov:"10600"_513420_516238

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_ishii3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10600.chaJun 1;6.01545223.67

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. zoo2 · 100.0%