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. toreru ka na ? %mov:"10029"_661365_663592 FAT · japanese_ishii/10029.cha, line 338 · Jun 1;00
  2. toreru ka na ? %mov:"10029"_676479_678996 FAT · japanese_ishii/10029.cha, line 346 · Jun 1;00
  1. japanese_ishii/10029.cha, line 338 · Jun, 1;0.29
    FATtorehen [: torenai] . %mov:"10029"_659540_660201
    FATtorenai torenai . %mov:"10029"_660201_661365
    FAT*FAT: toreru ka na ? %mov:"10029"_661365_663592
    FAThai . %mov:"10029"_663592_666213
    FAToi ! %mov:"10029"_666213_667047
  2. japanese_ishii/10029.cha, line 346 · Jun, 1;0.29
    FAThai . %mov:"10029"_669499_674645
    FATa, haitta haittaa . %mov:"10029"_674645_676479
    FAT*FAT: toreru ka na ? %mov:"10029"_676479_678996
    CHIua . %mov:"10029"_678996_680484
    FATa, toreru toreruu . %mov:"10029"_680484_682079

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. na2 · 100.0%