PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 1,772 words searched).

  1. well # he'd be lost together . MOT · eng_USA_Brown/sarah086.cha, line 155 · Sarah 3;11
  2. # you won't be able to go to the pool if ya don't eat all your lunch . MOT · eng_USA_Brown/sarah086.cha, line 421 · Sarah 3;11
  3. be more talkative . MOT · eng_USA_Brown/sarah086.cha, line 821 · Sarah 3;11
  4. well if I did ya think I'd be standin(g) here ? JOA · eng_USA_Brown/sarah086.cha, line 1029 · Sarah 3;11
  5. wouldn't that be a conversation piece if xxx at the beach ? MOT · eng_USA_Brown/sarah086.cha, line 1201 · Sarah 3;11
  6. now ya have to be nice . MOT · eng_USA_Brown/sarah086.cha, line 1284 · Sarah 3;11
  1. MOTwhat do ya mean [?] ?
    MOTis my dog got lost ?
    MOT*MOT: well # he'd be lost together .
    MOTxxx lost together ?
    JOAyes they would .
  2. JOAup .
    MOTcome on # ge(t) +...
    MOT*MOT: # you won't be able to go to the pool if ya don't eat all your lunch .
    MOTget up .
    JOAget up .
  3. MOTyou're not bein(g) nice at all .
    MELwhat are ya goin(g) to do if I +...
    MOT*MOT: be more talkative .
    MOTc(o)me (h)ere .
    MOTstop whining !
  4. MOTI don't know where xxx .
    CHIyou know where my dog is # huh ?
    JOA*JOA: well if I did ya think I'd be standin(g) here ?
    CHI0 .
    MOTyou feel better now that you've had your cry for the day ?
  5. MELshe sounds pretty funny .
    MOTdon't know if it's a boy or a girl with white hair and black hands .
    MOT*MOT: wouldn't that be a conversation piece if xxx at the beach ?
    CHII know Ann_Marie .
    CHIyou knew Ann_Marie ?
  6. CHIno .
    CHII want both dem .
    MOT*MOT: now ya have to be nice .
    CHII better have both o(f) them .

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_Brown3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah086.chaSarah 3;11.291,772663.39

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. be6 · 100.0%