PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,218 words searched).

  1. all right . INV · eng_british_Manchester_II/john32a.cha, line 95 · John 2;10
  2. oh we've taken all your toys are upstairs , haven't we, John ? MOT · eng_british_Manchester_II/john32a.cha, line 242 · John 2;10
  3. did Nicole help you at all ? MOT · eng_british_Manchester_II/john32a.cha, line 402 · John 2;10
  4. have you done all the ones with the wheels on ? MOT · eng_british_Manchester_II/john32a.cha, line 435 · John 2;10
  5. look at all these . MOT · eng_british_Manchester_II/john32a.cha, line 642 · John 2;10
  6. we tested them all , didn't we ? MOT · eng_british_Manchester_II/john32a.cha, line 733 · John 2;10
  7. that one's all right now . INV · eng_british_Manchester_II/john32a.cha, line 934 · John 2;10
  1. CHIno .
    INVoh I can look at it .
    INV*INV: all right .
    INVokay .
    CHIthe green one .
  2. MOTvery long beak .
    CHIbrumm@o .
    MOT*MOT: oh we've taken all your toys are upstairs , haven't we, John ?
    MOTwe haven't brought any down this morning .
    MOThave to go and get your crayons in a minute .
  3. MOTyou've done very well , John .
    MOTyou've colored most of that in .
    MOT*MOT: did Nicole help you at all ?
    CHIno .
    MOTshe didn't ?
  4. CHII draw blue .
    MOTcan't be many pictures that you haven't had a go at now , John .
    MOT*MOT: have you done all the ones with the wheels on ?
    MOTlots of vehicles , aren't there in there ?
    MOTdid you do the digger ?
  5. CHIlook .
    MOToh you've got lots to do .
    MOT*MOT: look at all these .
    CHIpink .
    MOTmmhm .
  6. MOTmaybe a green for the tree .
    MOTyou've got so many greens .
    MOT*MOT: we tested them all , didn't we ?
    MOTyou had about five or six different greens .
    MOTwhich one will we use ?
  7. INVthere .
    INVthere .
    INV*INV: that one's all right now .
    CHII go to draw this .
    CHIburp .

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. John eng_british_Manchester_II5.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john32a.chaJohn 2;10.091,218775.75

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. all7 · 100.0%