PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. piipii@o ka ? %mov:"20029"_792731_793528 FAT · japanese_ishii/20029.cha, line 469 · Jun 2;00
  2. un, bakkubakkuu no toki ni piipii@o te naru nee ? %mov:"20029"_800547_803712 FAT · japanese_ishii/20029.cha, line 473 · Jun 2;00
  1. japanese_ishii/20029.cha, line 469 · Jun, 2;0.29
    CHIbi [<] . %mov:"20029"_791012_792040
    CHIn ? %mov:"20029"_792040_792731
    FAT*FAT: piipii@o ka ? %mov:"20029"_792731_793528
    CHIpipii ya . %mov:"20029"_793528_795230
    FATun, piipiipii@o tte bakkusuru toki nan nya nee pipii te . %mov:"20029"_795230_795230
  2. japanese_ishii/20029.cha, line 473 · Jun, 2;0.29
    FATun, piipiipii@o tte bakkusuru toki nan nya nee pipii te . %mov:"20029"_795230_795230
    CHIbakku ? %mov:"20029"_799011_800547
    FAT*FAT: un, bakkubakkuu no toki ni piipii@o te naru nee ? %mov:"20029"_800547_803712
    CHIbiibiibii xxx [>] . %mov:"20029"_803712_806238
    FATsoosoosoosoo [<] . %mov:"20029"_803712_806238

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712222.81

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. piipii2 · 100.0%