PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.88 per 1,000 words of the child (CHI), in 1 of 1 transcripts (297 utterances, 1,025 words searched).

  1. only it doesn't have # like that . CHI · eng_USA_Brown/sarah110.cha, line 415 · Sarah 4;05
  2. alright I'll have tuna+fish now [?] . CHI · eng_USA_Brown/sarah110.cha, line 520 · Sarah 4;05
  3. they have a Indian thing . CHI · eng_USA_Brown/sarah110.cha, line 1011 · Sarah 4;05
  4. bee(s) have clothes ? CHI · eng_USA_Brown/sarah110.cha, line 1314 · Sarah 4;05
  5. but all of em have lines # huh ? CHI · eng_USA_Brown/sarah110.cha, line 1329 · Sarah 4;05
  1. MELno # one to fit you .
    CHIuh # yeah .
    CHI*CHI: only it doesn't have # like that .
    MELhuh ?
    CHIyeah .
  2. MOTno !
    MOTyou get no tuna+fish .
    CHI*CHI: alright I'll have tuna+fish now [?] .
    MOTI'll make tuna+fish a little later .
    MOTwhyn't [: why don't] ya show her your # thing .
  3. MOTwant a drink a milk ?
    CHIyeah .
    CHI*CHI: they have a Indian thing .
    CHIlike on the tents like we do .
    MOTwho does ?
  4. CHIis that a bee right here ?
    MOTmmhm .
    CHI*CHI: bee(s) have clothes ?
    MOTdoes a bee have clothes ?
    CHIyeah .
  5. CHInot real ones ?
    MOTno # not real ones .
    CHI*CHI: but all of em have lines # huh ?
    CHIhuh ?
    MOTyeah .

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_Brown4.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah110.chaSarah 4;5.221,025554.88

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. have5 · 100.0%