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. aa aa, sonna toko (e) haitta no . %mov:"10029"_310834_312309 FAT · japanese_ishii/10029.cha, line 180 · Jun 1;00
  2. aa aa, konna toko [: tokoro] (e) kita . %mov:"10029"_511692_513292 FAT · japanese_ishii/10029.cha, line 264 · Jun 1;00
  1. FATatta ? %mov:"10029"_307722_309950
    CHIaa aa . %mov:"10029"_309950_310834
    FAT*FAT: aa aa, sonna toko (e) haitta no . %mov:"10029"_310834_312309
    FATtotte . %mov:"10029"_312309_314417
    FATbooru wa ? %mov:"10029"_314417_316337
  2. FATaa aa . %mov:"10029"_507596_508846
    CHIbuuaa . %mov:"10029"_508846_511692
    FAT*FAT: aa aa, konna toko [: tokoro] (e) kita . %mov:"10029"_511692_513292
    CHIbu . %mov:"10029"_513292_517752
    CHIuubu . %mov:"10029"_517752_519337

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. toko2 · 100.0%