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. taiya aru kedo ? %mov:"20525"_1017532_1018509 FAT · japanese_ishii/20525.cha, line 497 · Jun 2;05
  2. taiya aru kedo ? %mov:"20525"_1019188_1019913 FAT · japanese_ishii/20525.cha, line 500 · Jun 2;05
  1. japanese_ishii/20525.cha, line 497 · Jun, 2;5.25
    CHIpiidon@o . %mov:"20525"_1005388_1006669
    CHIjidoosha hashiru kara # taiya aru kedo ne . %mov:"20525"_1006669_1017532
    FAT*FAT: taiya aru kedo ? %mov:"20525"_1017532_1018509
    CHIhore . %mov:"20525"_1018509_1019188
    FATtaiya aru kedo ? %mov:"20525"_1019188_1019913
  2. japanese_ishii/20525.cha, line 500 · Jun, 2;5.25
    FATtaiya aru kedo ? %mov:"20525"_1017532_1018509
    CHIhore . %mov:"20525"_1018509_1019188
    FAT*FAT: taiya aru kedo ? %mov:"20525"_1019188_1019913
    CHIxxx jidoosha . %mov:"20525"_1019913_1033471
    FATkore (no) futa doko itta no ? %mov:"20525"_1033471_1036276

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. aru2 · 100.0%