PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (330 utterances, 1,306 words searched).

  1. do you need some paper for this ? MOT · eng_british_Manchester_II/john34a.cha, line 38 · John 2;10
  2. we need some paper . MOT · eng_british_Manchester_II/john34a.cha, line 335 · John 2;10
  3. go upstairs and get the paper and the glue . MOT · eng_british_Manchester_II/john34a.cha, line 363 · John 2;10
  4. you can glue this piece of paper . MOT · eng_british_Manchester_II/john34a.cha, line 449 · John 2;10
  5. now you can stick it on your paper . MOT · eng_british_Manchester_II/john34a.cha, line 542 · John 2;10
  6. you stick it on your paper . MOT · eng_british_Manchester_II/john34a.cha, line 571 · John 2;10
  7. can you stick it on your paper ? MOT · eng_british_Manchester_II/john34a.cha, line 817 · John 2;10
  8. find a space on your paper . MOT · eng_british_Manchester_II/john34a.cha, line 821 · John 2;10
  1. MOTvery good .
    MOTJohn .
    MOT*MOT: do you need some paper for this ?
    MOTor a book .
    CHII have paper .
  2. CHIcollage .
    MOTcollage .
    MOT*MOT: we need some paper .
    CHIcollage .
    CHIcollage .
  3. MOTright .
    MOTvery quickly then .
    MOT*MOT: go upstairs and get the paper and the glue .
    MOTcome with me John .
    MOTcome on .
  4. MOTokay .
    MOTokay now .
    MOT*MOT: you can glue this piece of paper .
    MOTlet's open it a little bit .
    MOTif you turn it the other way , John .
  5. MOTand down here by my finger .
    MOTgood .
    MOT*MOT: now you can stick it on your paper .
    MOTstick it on .
    MOTvery good .
  6. MOTgood .
    MOTright then .
    MOT*MOT: you stick it on your paper .
    MOTlovely .
    MOTperhaps we've got room here for something else .
  7. CHIoh .
    CHIit's xxx .
    MOT*MOT: can you stick it on your paper ?
    CHIdo some more .
    MOTfind a space on your paper .
  8. MOTcan you stick it on your paper ?
    CHIdo some more .
    MOT*MOT: find a space on your paper .
    CHIwanna do some more .
    MOTwhere's it going to go ?

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_II6.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john34a.chaJohn 2;10.241,306886.13

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. paper8 · 100.0%