PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.24 per 1,000 words of the child (CHI), in 1 of 1 transcripts (266 utterances, 927 words searched).

  1. like that # lines . CHI · eng_USA_Brown/sarah109.cha, line 44 · Sarah 4;05
  2. black lines . CHI · eng_USA_Brown/sarah109.cha, line 47 · Sarah 4;05
  3. (be)cause it have both lines # I guess . CHI · eng_USA_Brown/sarah109.cha, line 394 · Sarah 4;05
  1. eng_USA_Brown/sarah109.cha, line 44 · Sarah, 4;5.14
    GAIwhat ?
    CHIthings around it .
    CHI*CHI: like that # lines .
    CHIblack lines .
    MOTthat's how you can tell a tiger (be)cause he's got black lines ?
  2. eng_USA_Brown/sarah109.cha, line 47 · Sarah, 4;5.14
    CHIthings around it .
    CHIlike that # lines .
    CHI*CHI: black lines .
    MOTthat's how you can tell a tiger (be)cause he's got black lines ?
    CHIyeah .
  3. eng_USA_Brown/sarah109.cha, line 394 · Sarah, 4;5.14
    CHIhey # it stick to my dress .
    MELwhy did it do that ?
    CHI*CHI: (be)cause it have both lines # I guess .
    MELit has both lines ?
    CHIum .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Sarah eng_USA_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.14927333.24

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. lines3 · 100.0%