PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (628 utterances, 2,108 words searched).

  1. are you going to put them on the stick ? MOT · eng_british_Manchester_I/anne02a.cha, line 54 · Anne 1;10
  2. are you going to put that one on as well ? MOT · eng_british_Manchester_I/anne02a.cha, line 100 · Anne 1;10
  3. they're going to put that skip on the lorry I think . MOT · eng_british_Manchester_I/anne02a.cha, line 170 · Anne 1;10
  4. you put juice in there ,, didn't you ? MOT · eng_british_Manchester_I/anne02a.cha, line 563 · Anne 1;10
  5. shall we put teddy's feet in ? MOT · eng_british_Manchester_I/anne02a.cha, line 717 · Anne 1;10
  6. we'll put mummy's glasses on . MOT · eng_british_Manchester_I/anne02a.cha, line 1160 · Anne 1;10
  7. where shall I put it ? MOT · eng_british_Manchester_I/anne02a.cha, line 1636 · Anne 1;10
  1. INVwhere's the stick for those ?
    MOTit's here ,, isn't it ?
    MOT*MOT: are you going to put them on the stick ?
    CHIoh .
    CHIit's here .
  2. MOTwhat ?
    CHIthat .
    MOT*MOT: are you going to put that one on as well ?
    CHIlook .
    MOTI think we might have them in the wrong order .
  3. MOTit's come to get the skip .
    MOTcan you see ?
    MOT*MOT: they're going to put that skip on the lorry I think .
    MOTcan you see the light ?
    CHIyeah .
  4. CHIjuice .
    MOTyes .
    MOT*MOT: you put juice in there ,, didn't you ?
    CHI&a Anne's juice ?
    MOTwhere's Anne's juice ?
  5. INVlater .
    MOTlater on .
    MOT*MOT: shall we put teddy's feet in ?
    CHIno .
    MOTno ?
  6. MOTis that Anne ?
    MOTthat's mummy, look .
    MOT*MOT: we'll put mummy's glasses on .
    MOTthat's mummy .
    MOTshall we draw Anne now ?
  7. INVclever Anne .
    MOTxxx Caroline .
    MOT*MOT: where shall I put it ?
    CHIin toilet .
    MOTin toilet .

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. Anne eng_british_Manchester_I3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne02a.chaAnne 1;10.212,108773.32

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%