PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (351 utterances, 1,255 words searched).

  1. I've got them all here . MOT · eng_british_Manchester_I/becky22b.cha, line 77 · Becky 2;07
  2. I've got three now , haven't I ? MOT · eng_british_Manchester_I/becky22b.cha, line 651 · Becky 2;07
  3. I've been keeping them in here , look with the other one . MOT · eng_british_Manchester_I/becky22b.cha, line 1210 · Becky 2;07
  4. I've got a cup of tea here . MOT · eng_british_Manchester_I/becky22b.cha, line 1376 · Becky 2;07
  5. but look what I've got here . MOT · eng_british_Manchester_I/becky22b.cha, line 1571 · Becky 2;07
  6. I've got two . MOT · eng_british_Manchester_I/becky22b.cha, line 1573 · Becky 2;07
  1. eng_british_Manchester_I/becky22b.cha, line 77 · Becky, 2;7.09
    CHIwhere's another one gone ?
    MOTwhat other one ?
    MOT*MOT: I've got them all here .
    CHIwhere's other ones gone ?
    MOTwhat other ones ?
  2. eng_british_Manchester_I/becky22b.cha, line 651 · Becky, 2;7.09
    CHIone two .
    MOTno .
    MOT*MOT: I've got three now , haven't I ?
    CHIyes .
    CHIand <has you> [//] have I got ?
  3. eng_british_Manchester_I/becky22b.cha, line 1210 · Becky, 2;7.09
    CHIwhere does it go ?
    MOTwell .
    MOT*MOT: I've been keeping them in here , look with the other one .
    CHIMum .
    MOTyou want <the push> [//] make it into a push+chair , do you ?
  4. eng_british_Manchester_I/becky22b.cha, line 1376 · Becky, 2;7.09
    MOTbe careful please , Becky .
    MOTlook .
    MOT*MOT: I've got a cup of tea here .
    MOTbe careful .
    CHIxxx .
  5. eng_british_Manchester_I/becky22b.cha, line 1571 · Becky, 2;7.09
    CHIready do this .
    MOTah !
    MOT*MOT: but look what I've got here .
    MOTI've got two .
    MOTah !
  6. eng_british_Manchester_I/becky22b.cha, line 1573 · Becky, 2;7.09
    MOTah !
    MOTbut look what I've got here .
    MOT*MOT: I've got two .
    MOTah !

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. Becky eng_british_Manchester_I4.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky22b.chaBecky 2;7.091,255664.78

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. i've6 · 100.0%