PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (326 utterances, 1,179 words searched).

  1. do you want me to put panda's trousers on as well ? MOT · eng_british_Manchester_I/becky19b.cha, line 182 · Becky 2;06
  2. let's put his trousers on . MOT · eng_british_Manchester_I/becky19b.cha, line 237 · Becky 2;06
  3. are you going to do [//] put your shopping in there ? MOT · eng_british_Manchester_I/becky19b.cha, line 368 · Becky 2;06
  4. put the box down . MOT · eng_british_Manchester_I/becky19b.cha, line 762 · Becky 2;06
  5. so [<] you ought to put the baby cow with the cows really , oughtn't you ? MOT · eng_british_Manchester_I/becky19b.cha, line 1089 · Becky 2;06
  6. don't put your fingers in his eyes . MOT · eng_british_Manchester_I/becky19b.cha, line 1264 · Becky 2;06
  7. you could put it on there . MOT · eng_british_Manchester_I/becky19b.cha, line 1580 · Becky 2;06
  1. CHIyes .
    INVhe's lick dolly .
    MOT*MOT: do you want me to put panda's trousers on as well ?
    CHIyes .
    CHIdolly .
  2. CHII want it .
    CHIcan I xxx .
    MOT*MOT: let's put his trousers on .
    MOTshall I do that ?
    CHIyeah .
  3. CHII like +//.
    CHIthis is mine .
    MOT*MOT: are you going to do [//] put your shopping in there ?
    CHIyeah .
    MOTright .
  4. CHIoh .
    CHIxxx .
    MOT*MOT: put the box down .
    CHIdoes that go there ?
    MOTyes .
  5. MOTa baby cow .
    CHIcow [>] .
    MOT*MOT: so [<] you ought to put the baby cow with the cows really , oughtn't you ?
    MOTand this is a cow as well .
    MOTthey ought to go there , shouldn't they really ?
  6. CHIyeah .
    CHISukie xxx .
    MOT*MOT: don't put your fingers in his eyes .
    MOTyou'll hurt him .
    CHIaah .
  7. CHIoh .
    CHIdoes fit on there .
    MOT*MOT: you could put it on there .
    MOTyeah .
    CHIhere .

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_I5.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky19b.chaBecky 2;6.191,179775.94

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%