PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (679 utterances, 2,192 words searched).

  1. shall we cut it in half and then you haven't got so much to roll , have you ? MOT · eng_british_Manchester_II/nic11a.cha, line 30 · Nicole 2;04
  2. that's why it willn't cut because you haven't got it the right way round . MOT · eng_british_Manchester_II/nic11a.cha, line 328 · Nicole 2;04
  3. you've still got a car a van and a teddy+bear , haven't you ? MOT · eng_british_Manchester_II/nic11a.cha, line 377 · Nicole 2;04
  4. because you've put the lid on , haven't you ? INV · eng_british_Manchester_II/nic11a.cha, line 1344 · Nicole 2;04
  5. got a lovely castle there , haven't you ? MOT · eng_british_Manchester_II/nic11a.cha, line 1710 · Nicole 2;04
  1. eng_british_Manchester_II/nic11a.cha, line 30 · Nicole, 2;4.18
    CHIyeah .
    MOTare you rolling it out ?
    MOT*MOT: shall we cut it in half and then you haven't got so much to roll , have you ?
    MOTthere .
    MOToh .
  2. eng_british_Manchester_II/nic11a.cha, line 328 · Nicole, 2;4.18
    MOTother way round .
    MOTother way round .
    MOT*MOT: that's why it willn't cut because you haven't got it the right way round .
    MOTthat's it .
    MOTother way round .
  3. eng_british_Manchester_II/nic11a.cha, line 377 · Nicole, 2;4.18
    CHIa [/] a garage .
    MOTyeah .
    MOT*MOT: you've still got a car a van and a teddy+bear , haven't you ?
    MOTwww .
    CHIright .
  4. eng_british_Manchester_II/nic11a.cha, line 1344 · Nicole, 2;4.18
    INVnobody drawing again now .
    INVno .
    INV*INV: because you've put the lid on , haven't you ?
    MOTmmhm .
    MOTare you going to take the book away as well ?
  5. eng_british_Manchester_II/nic11a.cha, line 1710 · Nicole, 2;4.18
    MOTyeah .
    INVthat's a castle .
    MOT*MOT: got a lovely castle there , haven't you ?
    CHIno .
    CHItake him .

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. Nicole eng_british_Manchester_II2.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic11a.chaNicole 2;4.182,192552.28

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. haven't5 · 100.0%