PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

3.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 874 words searched).

  1. kon [: kono] naka notta ne,, kon naka ? %mov:"20323"_1069790_1071600 FAT · japanese_ishii/20323.cha, line 555 · Jun 2;03
  2. kon [: kono] naka notta ne,, kon naka ? %mov:"20323"_1069790_1071600 FAT · japanese_ishii/20323.cha, line 555 · Jun 2;03
  3. kon naka haitta ne [<] ? %mov:"20323"_1071600_1073274 FAT · japanese_ishii/20323.cha, line 557 · Jun 2;03
  1. japanese_ishii/20323.cha, line 555 · Jun, 2;3.23
    FATkikansha atta ne,, konnan ? %mov:"20323"_1065333_1067536
    FATJunkun, atta ne ? %mov:"20323"_1067536_1069790
    FAT*FAT: kon [: kono] naka notta ne,, kon naka ? %mov:"20323"_1069790_1071600
    CHIn [>] ? %mov:"20323"_1071600_1073274
    FATkon naka haitta ne [<] ? %mov:"20323"_1071600_1073274
  2. japanese_ishii/20323.cha, line 557 · Jun, 2;3.23
    FATkon [: kono] naka notta ne,, kon naka ? %mov:"20323"_1069790_1071600
    CHIn [>] ? %mov:"20323"_1071600_1073274
    FAT*FAT: kon naka haitta ne [<] ? %mov:"20323"_1071600_1073274
    CHIn ? %mov:"20323"_1073274_1074956
    FATkonnan atta ne ? %mov:"20323"_1074956_1075764

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_ishii3.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20323.chaJun 2;3.23874233.43

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. naka3 · 100.0%