PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 749 words searched).

  1. a, konna toko ni # moo@o [= cow] ga iru yan . %mov:"20108"_382505_385492 FAT · japanese_ishii/20108.cha, line 254 · Jun 2;01
  2. konna oi [//] okana akan . %mov:"20108"_859463_860955 FAT · japanese_ishii/20108.cha, line 535 · Jun 2;01
  1. FATchiisai no wa ? %mov:"20108"_377977_378787
    FATsore chiisai nee . %mov:"20108"_378787_382505
    FAT*FAT: a, konna toko ni # moo@o [= cow] ga iru yan . %mov:"20108"_382505_385492
    CHIkoe a [>] ? %mov:"20108"_385492_387690
    FATn [<] ? %mov:"20108"_385492_387690
  2. CHIaawi . %mov:"20108"_855230_857499
    CHIe nyuinya ? %mov:"20108"_857499_859463
    FAT*FAT: konna oi [//] okana akan . %mov:"20108"_859463_860955
    CHInainai . %mov:"20108"_860955_861930
    FATnainai sun no ? %mov:"20108"_861930_862742

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_ishii2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20108.chaJun 2;1.08749222.67

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. konna2 · 100.0%