PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (389 utterances, 1,706 words searched).

  1. well # it is . MOT · eng_USA_Brown/sarah115.cha, line 142 · Sarah 4;06
  2. is it ? MEL · eng_USA_Brown/sarah115.cha, line 529 · Sarah 4;06
  3. what kind of a tree is it ? MEL · eng_USA_Brown/sarah115.cha, line 538 · Sarah 4;06
  4. +" Sarah # I wonder where your Mother is . MOT · eng_USA_Brown/sarah115.cha, line 689 · Sarah 4;06
  5. is candy supper food ? GAI · eng_USA_Brown/sarah115.cha, line 814 · Sarah 4;06
  6. now look at it # here it is # right here . MOT · eng_USA_Brown/sarah115.cha, line 1285 · Sarah 4;06
  7. that's all you have to get is three in a row . MOT · eng_USA_Brown/sarah115.cha, line 1342 · Sarah 4;06
  8. is that a cheese_pop@c ? MOT · eng_USA_Brown/sarah115.cha, line 1523 · Sarah 4;06
  1. MOTterrible .
    CHII don't want you to say that .
    MOT*MOT: well # it is .
    MOTit's awful .
    CHII want you to say that's nice .
  2. MELa mountain ?
    CHI0 .
    MEL*MEL: is it ?
    CHItree .
    MELtree # oh .
  3. MELtree # oh .
    CHIcherries ?
    MEL*MEL: what kind of a tree is it ?
    CHIcherry .
    CHIhow you shut it off ?
  4. CHIno # my mommy .
    MOTI was late pickin(g) her up and the teacher said # +"/.
    MOT*MOT: +" Sarah # I wonder where your Mother is .
    MOTshe said # oh # she's out drunk .
    MOT+" she's out and she's drunk .
  5. CHIcandy .
    MOTcandy !
    GAI*GAI: is candy supper food ?
    CHI0 .
    MELspecial supper food .
  6. MOTwhere you gonna put it so you can have three in a row ?
    CHII'm goin(g) put it +...
    MOT*MOT: now look at it # here it is # right here .
    MOTyou have two zeroes here .
    CHIum +...
  7. MOTno # you don't get all of em .
    MOTjust three .
    MOT*MOT: that's all you have to get is three in a row .
    CHIthree ?
    CHIlet's make another one .
  8. MOTyou don't mean a grilled cheese ?
    CHIno .
    MOT*MOT: is that a cheese_pop@c ?
    MELpopsicle ?
    MOToh that's nice to play with .

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_Brown4.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah115.chaSarah 4;6.241,706884.69

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. is8 · 100.0%