PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

6.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,717 words searched).

  1. are you gonna draw ? MEL · eng_USA_Brown/sarah122.cha, line 69 · Sarah 4;08
  2. what are you drawing ? GAI · eng_USA_Brown/sarah122.cha, line 106 · Sarah 4;08
  3. what are you making ? MEL · eng_USA_Brown/sarah122.cha, line 219 · Sarah 4;08
  4. your fingernails are that long ? MEL · eng_USA_Brown/sarah122.cha, line 264 · Sarah 4;08
  5. yeah # these are all broke . MOT · eng_USA_Brown/sarah122.cha, line 266 · Sarah 4;08
  6. what are you trying to do ? GAI · eng_USA_Brown/sarah122.cha, line 428 · Sarah 4;08
  7. <they had> [//] where the eggs are # they had a great big plate and it had all filled with little chicke… MOT · eng_USA_Brown/sarah122.cha, line 507 · Sarah 4;08
  8. too bad they change # (be)cause they are awfully cute . MEL · eng_USA_Brown/sarah122.cha, line 582 · Sarah 4;08
  9. are we supposed to guess who said something ? MEL · eng_USA_Brown/sarah122.cha, line 664 · Sarah 4;08
  10. are you asking him ? MEL · eng_USA_Brown/sarah122.cha, line 785 · Sarah 4;08
  11. well are you gonna marry Batman uh Robin or is # uh Donna goin(g) (t)a marry R… MOT · eng_USA_Brown/sarah122.cha, line 939 · Sarah 4;08
  1. eng_USA_Brown/sarah122.cha, line 69 · Sarah, 4;8.20
    CHII just wanna show ya .
    GAIaah fine # that's a good idea .
    MEL*MEL: are you gonna draw ?
    MOTwant some tea # Melissa ?
    MELmmhm # I'd love some .
  2. eng_USA_Brown/sarah122.cha, line 106 · Sarah, 4;8.20
    MOTit was funny .
    MELyou're a nice dog .
    GAI*GAI: what are you drawing ?
    CHIsomethin(g) different .
    GAIsomething different .
  3. eng_USA_Brown/sarah122.cha, line 219 · Sarah, 4;8.20
    MELI thought that Gail was the one that used the sugar .
    CHI0 .
    MEL*MEL: what are you making ?
    CHIsomethin(g) # good out o(f) this paper .
    CHI(a)n(d) you don't know # but I know .
  4. eng_USA_Brown/sarah122.cha, line 264 · Sarah, 4;8.20
    CHIwhat does it look like ?
    MOTwhat ?
    MEL*MEL: your fingernails are that long ?
    MOTyeah # these are all broke .
    MOTI got ta cut them xxx .
  5. eng_USA_Brown/sarah122.cha, line 266 · Sarah, 4;8.20
    MOTwhat ?
    MELyour fingernails are that long ?
    MOT*MOT: yeah # these are all broke .
    MOTI got ta cut them xxx .
    MOTbanged this one in today # that one yesterday .
  6. eng_USA_Brown/sarah122.cha, line 428 · Sarah, 4;8.20
    GAIdid you ever have a kite ?
    CHIno # huh ?
    GAI*GAI: what are you trying to do ?
    MOTwhat do you want ?
    CHIit's goin(g) tear it .
  7. eng_USA_Brown/sarah122.cha, line 507 · Sarah, 4;8.20
    MELno # hmhmm .
    MOTno ?
    MOT*MOT: <they had> [//] where the eggs are # they had a great big plate and it had all filled with little chickens .
    MOTxxx ?
    MOTthey were adorable .
  8. eng_USA_Brown/sarah122.cha, line 582 · Sarah, 4;8.20
    CHII don't know .
    MOTthey were just so # y(ou) know ?
    MEL*MEL: too bad they change # (be)cause they are awfully cute .
    MOTyeah .
    MELd(o) you know what they look like when they grow up ?
  9. eng_USA_Brown/sarah122.cha, line 664 · Sarah, 4;8.20
    CHIthat folds the papers .
    CHI<that's> [/] that's the one .
    MEL*MEL: are we supposed to guess who said something ?
    CHIyeah .
    MELdid I say something ?
  10. eng_USA_Brown/sarah122.cha, line 785 · Sarah, 4;8.20
    CHIwell # how much is # a lot of tens ?
    MELhow much is a lot of tens ?
    MEL*MEL: are you asking him ?
    MELhmm # I don't think he knows .
    CHIdoes he ?
  11. eng_USA_Brown/sarah122.cha, line 939 · Sarah, 4;8.20
    CHIno more .
    MOTno more ?
    MOT*MOT: well are you gonna marry Batman uh Robin or is # uh Donna goin(g) (t)a marry Robin ?
    CHIDonna's gonna marry him # but I'm gonna marry him faster .
    MELgreat !

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_Brown6.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah122.chaSarah 4;8.201,71711116.41

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. are11 · 100.0%