PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (317 utterances, 1,309 words searched).

  1. well we'd have to put the train track away . MOT · eng_british_Manchester_II/liz17a.cha, line 54 · Liz 2;04
  2. put it on there . MOT · eng_british_Manchester_II/liz17a.cha, line 313 · Liz 2;04
  3. we need to put Thomas's face in there . MOT · eng_british_Manchester_II/liz17a.cha, line 322 · Liz 2;04
  4. now you want to put the Fat_Controller in , don't you ? MOT · eng_british_Manchester_II/liz17a.cha, line 364 · Liz 2;04
  5. I'll put it there , okay ? MOT · eng_british_Manchester_II/liz17a.cha, line 613 · Liz 2;04
  6. I've put the skin in the bin now , love . MOT · eng_british_Manchester_II/liz17a.cha, line 635 · Liz 2;04
  7. does Simple_Simon say put your hands on your head ? MOT · eng_british_Manchester_II/liz17a.cha, line 882 · Liz 2;04
  1. MOTit's a bit small for you now .
    CHII want paint .
    MOT*MOT: well we'd have to put the train track away .
    CHIno .
    MOTbecause there's not enough room to do both in here , is there ?
  2. MOTyes you were right sweetheart .
    MOTjust needed to move it along a little bit .
    MOT*MOT: put it on there .
    MOTthat's it .
    MOToh: Thomas is nearly done , isn't he ?
  3. MOToh: Thomas is nearly done , isn't he ?
    MOTnow where's Thomas's face ?
    MOT*MOT: we need to put Thomas's face in there .
    CHIthere .
    MOTThomas's face .
  4. MOTthere .
    MOTokay .
    MOT*MOT: now you want to put the Fat_Controller in , don't you ?
    CHIyeah .
    MOToh: now who goes in this corner here ?
  5. MOTLiz .
    MOTare you going to eat this banana ?
    MOT*MOT: I'll put it there , okay ?
    MOTout of the way .
    MOTand get rid of the skin .
  6. CHIskin .
    CHIwhere's the skin ?
    MOT*MOT: I've put the skin in the bin now , love .
    CHIwhy ?
    MOTbecause we didn't need it anymore .
  7. CHIyeah .
    MOToh right .
    MOT*MOT: does Simple_Simon say put your hands on your head ?
    CHIyeah .
    MOTaah I see .

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_II5.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz17a.chaLiz 2;4.241,309775.35

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. put7 · 100.0%