PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,264 words searched).

  1. what do you want ? MOT · eng_USA_Brown/sarah009.cha, line 212 · Sarah 2;04
  2. they're going to school like all big girls do . MOT · eng_USA_Brown/sarah009.cha, line 650 · Sarah 2;04
  3. what do you want # juice ? MOT · eng_USA_Brown/sarah009.cha, line 784 · Sarah 2;04
  4. Daddy didn't do it # you did it . MOT · eng_USA_Brown/sarah009.cha, line 1025 · Sarah 2;04
  5. do you want to get the mumps ? MOT · eng_USA_Brown/sarah009.cha, line 1074 · Sarah 2;04
  6. you do ? MOT · eng_USA_Brown/sarah009.cha, line 1077 · Sarah 2;04
  7. what did you do ? MOT · eng_USA_Brown/sarah009.cha, line 1277 · Sarah 2;04
  8. you do it . MOT · eng_USA_Brown/sarah009.cha, line 1320 · Sarah 2;04
  1. MOTyeah # you leave the button alone .
    CHII wan(t) .
    MOT*MOT: what do you want ?
    MOTwait a minute # you stand there .
    MOTxxx .
  2. CHIyyy .
    MOToh # no # they're not out playing in the yard # no .
    MOT*MOT: they're going to school like all big girls do .
    CHIschool ?
    MOTyeah .
  3. MOTeat it nice now .
    CHIxxx milk .
    MOT*MOT: what do you want # juice ?
    CHIjuice .
    CHImm .
  4. CHIxxx .
    CHIxxx .
    MOT*MOT: Daddy didn't do it # you did it .
    CHIMommy did .
    MOThuh ?
  5. CHImumps ?
    MOTyup .
    MOT*MOT: do you want to get the mumps ?
    MOTyou do ?
    CHIrun xxx .
  6. MOTyup .
    MOTdo you want to get the mumps ?
    MOT*MOT: you do ?
    CHIrun xxx .
    MOTwhat're you going to run for ?
  7. CHIhigh door .
    MOTbehind the door ?
    MOT*MOT: what did you do ?
    CHIhit back .
    MOTyou hit back # yeah .
  8. CHIstring .
    CHIwhistle .
    MOT*MOT: you do it .
    CHIyou do it .
    CHIwhistle .

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_Brown6.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah009.chaSarah 2;4.171,264886.33

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. do8 · 100.0%