PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (337 utterances, 1,289 words searched).

  1. get it off ? MOT · eng_british_Manchester_I/becky14b.cha, line 479 · Becky 2;04
  2. it doesn't come off . MOT · eng_british_Manchester_I/becky14b.cha, line 483 · Becky 2;04
  3. they're the lids off the tubs . MOT · eng_british_Manchester_I/becky14b.cha, line 505 · Becky 2;04
  4. you took them off , didn't you to get the animals out . MOT · eng_british_Manchester_I/becky14b.cha, line 509 · Becky 2;04
  5. would you like me to take that off ? MOT · eng_british_Manchester_I/becky14b.cha, line 838 · Becky 2;04
  6. shall we take dolly's dress off ? MOT · eng_british_Manchester_I/becky14b.cha, line 870 · Becky 2;04
  7. I think you can take that off yourself , look . MOT · eng_british_Manchester_I/becky14b.cha, line 874 · Becky 2;04
  1. MOTpardon ?
    CHIjust get it off there .
    MOT*MOT: get it off ?
    MOTno .
    MOTit doesn't come off .
  2. MOTget it off ?
    MOTno .
    MOT*MOT: it doesn't come off .
    MOTcome on if you've finished .
    MOTstand up please .
  3. MOTwhat ?
    CHIwho's those ?
    MOT*MOT: they're the lids off the tubs .
    CHIwhy ?
    MOTyou took them off , didn't you to get the animals out .
  4. MOTthey're the lids off the tubs .
    CHIwhy ?
    MOT*MOT: you took them off , didn't you to get the animals out .
    CHIwhy ?
    CHIoh .
  5. CHIcar up .
    CHIcar up .
    MOT*MOT: would you like me to take that off ?
    CHImmhm .
    CHIplease .
  6. MOTthere we are .
    CHIoff .
    MOT*MOT: shall we take dolly's dress off ?
    CHImmhm .
    MOTI think you can take that off yourself , look .
  7. MOTshall we take dolly's dress off ?
    CHImmhm .
    MOT*MOT: I think you can take that off yourself , look .
    MOTit's only velcro at the back .
    MOTcan you pull it ?

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_I5.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14b.chaBecky 2;4.281,289775.43

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. off7 · 100.0%