PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. atama doko itta no . %mov:"20029"_194673_196593 FAT · japanese_ishii/20029.cha, line 119 · Jun 2;00
  2. ookii buubuu@o wa doko itta no ? %mov:"20029"_931551_938866 FAT · japanese_ishii/20029.cha, line 554 · Jun 2;00
  1. japanese_ishii/20029.cha, line 119 · Jun, 2;0.29
    FATnan yaro . %mov:"20029"_193480_194673
    CHIaa aa shu koko . %mov:"20029"_194673_196593
    FAT*FAT: atama doko itta no . %mov:"20029"_194673_196593
    CHIn ? %mov:"20029"_197814_198966
    FATatama . %mov:"20029"_198966_199514
  2. japanese_ishii/20029.cha, line 554 · Jun, 2;0.29
    CHIa ? %mov:"20029"_917914_928683
    FAThai . %mov:"20029"_928683_931551
    FAT*FAT: ookii buubuu@o wa doko itta no ? %mov:"20029"_931551_938866
    CHIn ? %mov:"20029"_938866_939838
    FATookii buubuu@o wa ? %mov:"20029"_939838_942554

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712222.81

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. itta2 · 100.0%