PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (162 utterances, 373 words searched).

  1. kono hito dare ? %mov:"11107"_363661_365325 FAT · japanese_ishii/11107.cha, line 304 · Jun 1;11
  2. kono hito dare [>] ? %mov:"11107"_379026_379979 FAT · japanese_ishii/11107.cha, line 319 · Jun 1;11
  1. japanese_ishii/11107.cha, line 304 · Jun, 1;11.07
    FATa juusu nonden [: nondeiru] no . %mov:"11107"_361955_361955
    CHIhoa . %mov:"11107"_363186_363661
    FAT*FAT: kono hito dare ? %mov:"11107"_363661_365325
    CHIe eesha . %mov:"11107"_365325_366784
    FATe ? %mov:"11107"_366784_367464
  2. japanese_ishii/11107.cha, line 319 · Jun, 1;11.07
    CHIjuushu . %mov:"11107"_376300_377738
    FATjuusu nonden no . %mov:"11107"_377738_379026
    FAT*FAT: kono hito dare [>] ? %mov:"11107"_379026_379979
    CHIeensha [<] . %mov:"11107"_379026_379979
    CHIxxx papa <pa> [>] . %mov:"11107"_379979_382529

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_ishii5.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11107.chaJun 1;11.07373225.36

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. hito2 · 100.0%