PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (203 utterances, 580 words searched).

  1. booru ? %mov:"10420"_277693_278912 FAT · japanese_ishii/10420.cha, line 171 · Jun 1;04
  2. a, <bo> [<] [//] booru ka ? %mov:"10420"_489727_491008 FAT · japanese_ishii/10420.cha, line 298 · Jun 1;04
  1. japanese_ishii/10420.cha, line 171 · Jun, 1;4.20
    FATokao (o) misetekudasai . %mov:"10420"_273506_274631
    CHIbaa a . %mov:"10420"_274631_277693
    FAT*FAT: booru ? %mov:"10420"_277693_278912
    CHIa ? %mov:"10420"_278912_281271
    FATa ? %mov:"10420"_281271_282193
  2. japanese_ishii/10420.cha, line 298 · Jun, 1;4.20
    FATpaan@o ? %mov:"10420"_488915_489727
    CHItta [>] ! %mov:"10420"_489727_491008
    FAT*FAT: a, <bo> [<] [//] booru ka ? %mov:"10420"_489727_491008
    CHIpaa ? %mov:"10420"_491008_491008
    CHIuo ? %mov:"10420"_494086_494868

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_ishii3.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10420.chaJun 1;4.20580223.45

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. booru2 · 100.0%