PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

6.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,055 words searched).

  1. no # you can either have one or the other # you can('t) have both . MOT · eng_USA_Brown/sarah008.cha, line 63 · Sarah 2;04
  2. no # you can either have one or the other # you can('t) have both . MOT · eng_USA_Brown/sarah008.cha, line 63 · Sarah 2;04
  3. well # you can't ride her with this one # she's too big # you have to use the little dollie . MOT · eng_USA_Brown/sarah008.cha, line 659 · Sarah 2;04
  4. how many eyes have you got ? MOT · eng_USA_Brown/sarah008.cha, line 838 · Sarah 2;04
  5. you have some lipstick later . MOT · eng_USA_Brown/sarah008.cha, line 881 · Sarah 2;04
  6. you have two horsies # yeah . MOT · eng_USA_Brown/sarah008.cha, line 1261 · Sarah 2;04
  7. she doesn't have a ribbon her microphone . ROG · eng_USA_Brown/sarah008.cha, line 1510 · Sarah 2;04
  1. MOThuh ?
    CHImilk juice .
    MOT*MOT: no # you can either have one or the other # you can('t) have both .
    MOTwhat do you want # milk or juice ?
    CHImilk juice .
  2. MOTwant to put this one on here ?
    CHIxxx .
    MOT*MOT: well # you can't ride her with this one # she's too big # you have to use the little dollie .
    CHIlittle do(ll)y ?
    MOTyeah # this dollie's too big to ride the horse with .
  3. MOTyou know that ?
    CHIxxx .
    MOT*MOT: how many eyes have you got ?
    CHItwo eye .
    MOTtwo eyes .
  4. CHIxxx ?
    MOTyeah # you don't want xxx .
    MOT*MOT: you have some lipstick later .
    MOTwhen we go xxx ok ?
    CHIxxx me .
  5. CHII two horsie xxx .
    CHItwo # I two horsie .
    MOT*MOT: you have two horsies # yeah .
    CHIxxx .
    CHIhuh ?
  6. CHIme .
    CHIxxx poor pony .
    ROG*ROG: she doesn't have a ribbon her microphone .
    CHII want ribbon .
    ROGxxx .

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_Brown6.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah008.chaSarah 2;4.121,055676.64

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. have7 · 100.0%