PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 832 words searched).

  1. doko ga kayui no ? %mov:"20327"_304766_306066 FAT · japanese_ishii/20327.cha, line 185 · Jun 2;03
  2. doko ikimasu ka ? %mov:"20327"_459723_463650 FAT · japanese_ishii/20327.cha, line 264 · Jun 2;03
  1. japanese_ishii/20327.cha, line 185 · Jun, 2;3.27
    CHIkaidan nai yo . %mov:"20327"_298232_300318
    CHIkayui . %mov:"20327"_300318_304766
    FAT*FAT: doko ga kayui no ? %mov:"20327"_304766_306066
    CHIkoko kayui . %mov:"20327"_306066_308164
    FATmisetegoran . %mov:"20327"_308164_308891
  2. japanese_ishii/20327.cha, line 264 · Jun, 2;3.27
    CHIbasu kita zoo . %mov:"20327"_455209_458872
    FAThaai . %mov:"20327"_458872_459723
    FAT*FAT: doko ikimasu ka ? %mov:"20327"_459723_463650
    CHIbashu iiten no . %mov:"20327"_463650_465217
    CHIbadai itten no . %mov:"20327"_465217_467654

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_ishii2.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20327.chaJun 2;3.27832222.40

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. doko2 · 100.0%