PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. abunai yoo yuuten nya na ? %mov:"20029"_487902_489569 FAT · japanese_ishii/20029.cha, line 284 · Jun 2;00
  2. abunai yoo . %mov:"20029"_570561_571389 FAT · japanese_ishii/20029.cha, line 326 · Jun 2;00
  1. japanese_ishii/20029.cha, line 284 · Jun, 2;0.29
    FATaa, sonna shiten no,, ojichan ga . %mov:"20029"_485307_487090
    CHIn ? %mov:"20029"_487090_487902
    FAT*FAT: abunai yoo yuuten nya na ? %mov:"20029"_487902_489569
    CHIoe a ? %mov:"20029"_489569_497317
    FATsono ojichan ? %mov:"20029"_497317_498925
  2. japanese_ishii/20029.cha, line 326 · Jun, 2;0.29
    CHIxxx . %mov:"20029"_559044_567823
    CHIpyuu . %mov:"20029"_567823_570561
    FAT*FAT: abunai yoo . %mov:"20029"_570561_571389
    FATJunkun gohon mottekite yo . %mov:"20029"_571389_575179
    CHIxxx . %mov:"20029"_575179_576590

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712222.81

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. abunai2 · 100.0%