PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 1,562 words searched).

  1. just didn't have one . MEL · eng_USA_Brown/sarah095.cha, line 272 · Sarah 4;02
  2. do you have one ? MEL · eng_USA_Brown/sarah095.cha, line 276 · Sarah 4;02
  3. one piece ? MOT · eng_USA_Brown/sarah095.cha, line 356 · Sarah 4;02
  4. which one is which ? MEL · eng_USA_Brown/sarah095.cha, line 590 · Sarah 4;02
  5. this is a real one ? GAI · eng_USA_Brown/sarah095.cha, line 839 · Sarah 4;02
  6. if you lose your other one # it's nice to have this . MOT · eng_USA_Brown/sarah095.cha, line 1004 · Sarah 4;02
  7. xxx the other one . MOT · eng_USA_Brown/sarah095.cha, line 1036 · Sarah 4;02
  8. does it have one ? MEL · eng_USA_Brown/sarah095.cha, line 1109 · Sarah 4;02
  1. MELno .
    CHIwhy ?
    MEL*MEL: just didn't have one .
    CHIe@l e@l e@l .
    MELdo you have one ?
  2. MELjust didn't have one .
    CHIe@l e@l e@l .
    MEL*MEL: do you have one ?
    CHIyep .
    MELis it pretty ?
  3. MOTSarah # did you say you want toast ?
    CHIyeah .
    MOT*MOT: one piece ?
    CHI0 .
    FATlook out for that apple+juice .
  4. MELwhich is which ?
    CHIhuh ?
    MEL*MEL: which one is which ?
    MELwhich is clean greasy ?
    CHIhuh ?
  5. CHII'll go .
    CHIthis is a real one .
    GAI*GAI: this is a real one ?
    GAIwhat is it for ?
    CHIxxx .
  6. CHIlook # Mommy .
    MOToh yeah # leave it in there # that's nice .
    MOT*MOT: if you lose your other one # it's nice to have this .
    CHIreal xxx .
    CHIand Grampy gave me this .
  7. CHIthat can go on my bike too # y(ou) know .
    CHIthis one has a bobby+pin on it .
    MOT*MOT: xxx the other one .
    CHIthe other one .
    CHII know how to snap .
  8. CHII can fix this little thing .
    MELdid you see the pole that men slide down ?
    MEL*MEL: does it have one ?
    CHI0 .
    MELdid you see anybody slide down it ?

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. Sarah eng_USA_Brown5.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah095.chaSarah 4;2.091,562885.12

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. one8 · 100.0%