PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 723 words searched).

  1. batan@o suru yo . %mov:"11116"_411269_412816 FAT · japanese_ishii/11116.cha, line 295 · Jun 1;11
  2. suru ? %mov:"11116"_676691_678380 FAT · japanese_ishii/11116.cha, line 458 · Jun 1;11
  1. japanese_ishii/11116.cha, line 295 · Jun, 1;11.16
    CHIxxx . %mov:"11116"_398892_409473
    FATabunaai ! %mov:"11116"_409473_411269
    FAT*FAT: batan@o suru yo . %mov:"11116"_411269_412816
    CHIiisango . %mov:"11116"_412816_427298
    CHIxxx . %mov:"11116"_427298_429548
  2. japanese_ishii/11116.cha, line 458 · Jun, 1;11.16
    FATshoo ka ? %mov:"11116"_673755_675267
    FATkoo shite . %mov:"11116"_675267_676691
    FAT*FAT: suru ? %mov:"11116"_676691_678380
    FATkoo shite sun no . %mov:"11116"_678380_681073
    FATkoo shite sun no . %mov:"11116"_681073_682800

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_ishii2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16723222.77

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. suru2 · 100.0%