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. a toreta . %mov:"10029"_667047_668147 FAT · japanese_ishii/10029.cha, line 342 · Jun 1;00
  2. aa, toreta . %mov:"10029"_688613_692087 FAT · japanese_ishii/10029.cha, line 354 · Jun 1;00
  1. japanese_ishii/10029.cha, line 342 · Jun, 1;0.29
    FAThai . %mov:"10029"_663592_666213
    FAToi ! %mov:"10029"_666213_667047
    FAT*FAT: a toreta . %mov:"10029"_667047_668147
    FAThai . %mov:"10029"_668147_669499
    FAThai . %mov:"10029"_669499_674645
  2. japanese_ishii/10029.cha, line 354 · Jun, 1;0.29
    FATho ho ho . %mov:"10029"_685245_686657
    FATpya ! %mov:"10029"_686657_688613
    FAT*FAT: aa, toreta . %mov:"10029"_688613_692087
    FAThai, kore (o) kashitageyo [: kashite+ageyou] . %mov:"10029"_692087_694263
    FAThai . %mov:"10029"_694263_694713

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. toreta2 · 100.0%