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. a juusu nonden [: nondeiru] no . %mov:"11107"_361955_361955 FAT · japanese_ishii/11107.cha, line 302 · Jun 1;11
  2. juusu nonden no . %mov:"11107"_377738_379026 FAT · japanese_ishii/11107.cha, line 318 · Jun 1;11
  1. japanese_ishii/11107.cha, line 302 · Jun, 1;11.07
    FATatta atta . %mov:"11107"_359178_359950
    CHIa ma juuju . %mov:"11107"_359950_361955
    FAT*FAT: a juusu nonden [: nondeiru] no . %mov:"11107"_361955_361955
    CHIhoa . %mov:"11107"_363186_363661
    FATkono hito dare ? %mov:"11107"_363661_365325
  2. japanese_ishii/11107.cha, line 318 · Jun, 1;11.07
    CHIshiai . %mov:"11107"_375608_376300
    CHIjuushu . %mov:"11107"_376300_377738
    FAT*FAT: juusu nonden no . %mov:"11107"_377738_379026
    FATkono hito dare [>] ? %mov:"11107"_379026_379979
    CHIeensha [<] . %mov:"11107"_379026_379979

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. nonden2 · 100.0%