PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (254 utterances, 588 words searched).

  1. soko haitteta [>] . %mov:"20525"_119624_121704 FAT · japanese_ishii/20525.cha, line 83 · Jun 2;05
  2. haitteta . %mov:"20525"_126756_126756 FAT · japanese_ishii/20525.cha, line 88 · Jun 2;05
  1. japanese_ishii/20525.cha, line 83 · Jun, 2;5.25
    FATe ? %mov:"20525"_116012_116012
    CHInaka koko e haitteta . %mov:"20525"_116452_119624
    FAT*FAT: soko haitteta [>] . %mov:"20525"_119624_121704
    CHIkyuukyuusha [<] . %mov:"20525"_119624_121704
    FATkyuukyuusha chigau . %mov:"20525"_121704_121704
  2. japanese_ishii/20525.cha, line 88 · Jun, 2;5.25
    FATshooboosha ya . %mov:"20525"_122304_123260
    CHIhore, koko haitteta . %mov:"20525"_123260_126756
    FAT*FAT: haitteta . %mov:"20525"_126756_126756
    CHIjidoosha . %mov:"20525"_127365_128720
    FATkyuukyuusha ga ? %mov:"20525"_128720_129531

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_ishii3.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20525.chaJun 2;5.25588223.40

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. haitteta2 · 100.0%