PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (301 utterances, 1,154 words searched).

  1. <we must> [//] we'll have to put it up on the wall next+door , won't [: willn't] we ? MOT · eng_british_Manchester_II/liz18a.cha, line 132 · Liz 2;05
  2. well you'll have to move them out of the way a bit because Percy takes up all this roo… MOT · eng_british_Manchester_II/liz18a.cha, line 408 · Liz 2;05
  3. have you got the bridge ? MOT · eng_british_Manchester_II/liz18a.cha, line 836 · Liz 2;05
  4. have you ? MOT · eng_british_Manchester_II/liz18a.cha, line 1006 · Liz 2;05
  5. oh yes we have yes . MOT · eng_british_Manchester_II/liz18a.cha, line 1165 · Liz 2;05
  6. you have to pull the switch , don't you ? MOT · eng_british_Manchester_II/liz18a.cha, line 1255 · Liz 2;05
  7. I'll have to get some more tissues I think . MOT · eng_british_Manchester_II/liz18a.cha, line 1276 · Liz 2;05
  1. MOTyeah .
    MOTthank you love .
    MOT*MOT: <we must> [//] we'll have to put it up on the wall next+door , won't [: willn't] we ?
    MOTeh ?
    MOTthat's my coffee .
  2. MOTdo you want to put these away then and I'll get Percy out ?
    CHIdon't put these away .
    MOT*MOT: well you'll have to move them out of the way a bit because Percy takes up all this room , doesn't he ?
    MOTeh ?
    CHIwhose these shoes ?
  3. MOTshall I put that one out ?
    MOTover there ?
    MOT*MOT: have you got the bridge ?
    CHIum .
    CHIthis is bridge .
  4. MOToh I see .
    CHII 0have [*] got snotty nose .
    MOT*MOT: have you ?
    MOTcome here then .
    MOTI've got a tissue up my sleeve .
  5. MOTwon't [: willn't] she ?
    CHIwe 0have [*] got building blocks .
    MOT*MOT: oh yes we have yes .
    MOTbut we don't want to get them mixed up , do we ?
    CHII'm going to build a tunnel .
  6. CHIgo together .
    MOTyeah .
    MOT*MOT: you have to pull the switch , don't you ?
    CHIthere .
    CHIthere .
  7. MOTwe don't watch Sesame_Street , do we ?
    MOTcome here .
    MOT*MOT: I'll have to get some more tissues I think .

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. Liz eng_british_Manchester_II6.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz18a.chaLiz 2;5.011,154776.07

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. have7 · 100.0%