PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (193 utterances, 457 words searched).

  1. poi@o shitara mee [: dame] ya [: da] . %mov:"10021"_62089_65151 FAT · japanese_ishii/10021.cha, line 51 · Jun 1;00
  2. sawattara mee [: dame] yo . %mov:"10021"_848664_852232 FAT · japanese_ishii/10021.cha, line 460 · Jun 1;00
  1. FATbuu@o (o) aato [: arigatou] . %mov:"10021"_58637_60941
    FATa ! %mov:"10021"_60941_62089
    FAT*FAT: poi@o shitara mee [: dame] ya [: da] . %mov:"10021"_62089_65151
    FATaato [: arigatou] [>] . %mov:"10021"_65151_67515
    CHIaaja [<] . %mov:"10021"_65151_67515
  2. CHItya . %mov:"10021"_814696_817095
    FATdame yo . %mov:"10021"_844622_848664
    FAT*FAT: sawattara mee [: dame] yo . %mov:"10021"_848664_852232
    FAThai, yoisho ! %mov:"10021"_852232_855904
    FATxxx shite asobo [: asobou] ka ? %mov:"10021"_855904_857531

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_ishii4.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10021.chaJun 1;0.21457224.38

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. mee2 · 100.0%