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. booru (o) totte kite, booru (o) . %mov:"10029"_303422_305407 FAT · japanese_ishii/10029.cha, line 176 · Jun 1;00
  2. totte . %mov:"10029"_312309_314417 FAT · japanese_ishii/10029.cha, line 181 · Jun 1;00
  1. japanese_ishii/10029.cha, line 176 · Jun, 1;0.29
    FATaa aa . %mov:"10029"_300774_302723
    FATtottekite . %mov:"10029"_302723_303422
    FAT*FAT: booru (o) totte kite, booru (o) . %mov:"10029"_303422_305407
    FATaru ? %mov:"10029"_305407_307722
    FATatta ? %mov:"10029"_307722_309950
  2. japanese_ishii/10029.cha, line 181 · Jun, 1;0.29
    CHIaa aa . %mov:"10029"_309950_310834
    FATaa aa, sonna toko (e) haitta no . %mov:"10029"_310834_312309
    FAT*FAT: totte . %mov:"10029"_312309_314417
    FATbooru wa ? %mov:"10029"_314417_316337
    CHIchuwa . %mov:"10029"_316337_320450

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. totte2 · 100.0%