PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (220 utterances, 401 words searched).

  1. hoora, konna takaku natta zo, hora . %mov:"00601"_74965_78146 FAT · japanese_ishii/00601.cha, line 58 · Jun 0;06
  2. konna toko [: tokoro] ittan [: itta no] ? %mov:"00601"_476176_477130 FAT · japanese_ishii/00601.cha, line 216 · Jun 0;06
  1. japanese_ishii/00601.cha, line 58 · Jun, 0;6.01
    FAThoora . %mov:"00601"_70238_72380
    FAThoora . %mov:"00601"_72380_74965
    FAT*FAT: hoora, konna takaku natta zo, hora . %mov:"00601"_74965_78146
    FATaa ? %mov:"00601"_78146_80428
    CHIaan aa . %mov:"00601"_80428_82010
  2. japanese_ishii/00601.cha, line 216 · Jun, 0;6.01
    CHIa . %mov:"00601"_450191_453379
    FAToo oo . %mov:"00601"_471707_476176
    FAT*FAT: konna toko [: tokoro] ittan [: itta no] ? %mov:"00601"_476176_477130
    FATkorokoro . %mov:"00601"_477130_477740
    FAThai . %mov:"00601"_477740_478443

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_ishii4.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00601.chaJun 0;6.01401224.99

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%