PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 616 words searched).

  1. pa [>] ! %mov:"10029"_536581_541830 FAT · japanese_ishii/10029.cha, line 271 · Jun 1;00
  2. pa ! %mov:"10029"_719717_719717 FAT · japanese_ishii/10029.cha, line 378 · Jun 1;00
  1. japanese_ishii/10029.cha, line 271 · Jun, 1;0.29
    CHIau ! %mov:"10029"_526428_535278
    CHIuun . %mov:"10029"_535278_536581
    FAT*FAT: pa [>] ! %mov:"10029"_536581_541830
    CHIu [<] . %mov:"10029"_536581_541830
    FATbatan@o suru yo ! %mov:"10029"_541830_543957
  2. japanese_ishii/10029.cha, line 378 · Jun, 1;0.29
    FATa ! %mov:"10029"_717443_718347
    FATaa aa . %mov:"10029"_717443_719717
    FAT*FAT: pa ! %mov:"10029"_719717_719717
    FAThaittaa [>] . %mov:"10029"_721097_721941
    CHIaa aa [<] . %mov:"10029"_721097_721941

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_ishii3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10029.chaJun 1;0.29616223.25

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. pa2 · 100.0%