PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. here # <want a> [/] # want a glass of milk ? MOT · eng_USA_Brown/sarah002.cha, line 21
  2. ok # here it is . MOT · eng_USA_Brown/sarah002.cha, line 123
  3. who's this over here ? MOT · eng_USA_Brown/sarah002.cha, line 264
  4. here he is . SAR · eng_USA_Brown/sarah002.cha, line 604
  5. here he is ! MOT · eng_USA_Brown/sarah002.cha, line 606
  6. I'm right here . MOT · eng_USA_Brown/sarah002.cha, line 1248
  7. here # Mommy . SAR · eng_USA_Brown/sarah002.cha, line 1304
  8. here . SAR · eng_USA_Brown/sarah002.cha, line 1363
  1. eng_USA_Brown/sarah002.cha, line 21
    SARmilk .
    SARBobo@f .
    MOT*MOT: here # <want a> [/] # want a glass of milk ?
    SARxx .
    MOTbe nice .
  2. eng_USA_Brown/sarah002.cha, line 123
    GLOI think she's a little uncomfortable with all these people around .
    SARxx .
    MOT*MOT: ok # here it is .
    SAR0 [=! whimper] .
    MOTwell # it's the same thing .
  3. eng_USA_Brown/sarah002.cha, line 264
    MOTthat like your bike ?
    MOThmm ?
    MOT*MOT: who's this over here ?
    SARa girl .
    MOTum .
  4. eng_USA_Brown/sarah002.cha, line 604
    SARxx .
    SARxx Bobo@f xx .
    SAR*SAR: here he is .
    MOThere he is !
    MOTthat's Mr Snowman .
  5. eng_USA_Brown/sarah002.cha, line 606
    SARxx Bobo@f xx .
    SARhere he is .
    MOT*MOT: here he is !
    MOTthat's Mr Snowman .
    SARxx ?
  6. eng_USA_Brown/sarah002.cha, line 1248
    SARMommy ?
    MOTwhat ?
    MOT*MOT: I'm right here .
    MOTc(o)me (h)ere .
    SARyy xx .
  7. eng_USA_Brown/sarah002.cha, line 1304
    MOTwhat ?
    SARxx .
    SAR*SAR: here # Mommy .
    SARxx .
    MOTwhat ?
  8. eng_USA_Brown/sarah002.cha, line 1363
    MOThmm ?
    SARMommy .
    SAR*SAR: here .
    MOToh !
    MOT<why cha> [=? why don't you] play with this ?

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown6.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273886.28

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. here8 · 100.0%