PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (250 utterances, 1,060 words searched).

  1. # we'll give Gail a piece to take home # ok ? MOT · eng_USA_Brown/sarah135.cha, line 46 · Sarah 5;00
  2. yeah # we'll have it after supper # y(ou) know . MOT · eng_USA_Brown/sarah135.cha, line 106 · Sarah 5;00
  3. we can pretend ? GAI · eng_USA_Brown/sarah135.cha, line 130 · Sarah 5;00
  4. we don't have any sticks . MOT · eng_USA_Brown/sarah135.cha, line 604 · Sarah 5;00
  5. how_come when we were down the beach the other night you didn't want one ? MOT · eng_USA_Brown/sarah135.cha, line 622 · Sarah 5;00
  6. all the things that we talk about . GAI · eng_USA_Brown/sarah135.cha, line 928 · Sarah 5;00
  1. CHIdid Gail have some ?
    MOTdid Gail +...
    MOT*MOT: # we'll give Gail a piece to take home # ok ?
    CHIyeah .
    GAIdid you have some ?
  2. MOTyep # ok ?
    CHIfive birthday ?
    MOT*MOT: yeah # we'll have it after supper # y(ou) know .
    CHIone # two # three # four # five .
    CHIare you goin(g) lit em ?
  3. MOTSarah # don't you think you've had enough partying ?
    CHIwe can pretend there's a party .
    GAI*GAI: we can pretend ?
    GAIwhat happened to that doll # Sarah ?
    CHIit's broken .
  4. CHI(be)cause I'm makin(g) a pin+wheel .
    CHIMommy # get a stick .
    MOT*MOT: we don't have any sticks .
    MOTd(o) ya think all I got ta do is say +"/.
    MOT+" let's have a stick .
  5. MOTI'll buy you one down the beach for ten cents .
    MOThow would you like that ?
    MOT*MOT: how_come when we were down the beach the other night you didn't want one ?
    GAIwhat's been happening down at the beach ?
    CHInothin(g) .
  6. GAImany words .
    CHIwhat are they spell ?
    GAI*GAI: all the things that we talk about .
    CHIs@l a@l r@l a@l h@l .
    GAIyes .

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_Brown5.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah135.chaSarah 5;0.101,060665.66

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. we6 · 100.0%