PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,874 words searched).

  1. oh is that for me ? INV · eng_british_Manchester_II/john02a.cha, line 297 · John 1;11
  2. can you fetch a digger for me , John ? MOT · eng_british_Manchester_II/john02a.cha, line 503 · John 1;11
  3. do you want me to hold that for a minute ? INV · eng_british_Manchester_II/john02a.cha, line 610 · John 1;11
  4. they've got oranges for their nose [/] noses . MOT · eng_british_Manchester_II/john02a.cha, line 911 · John 1;11
  5. and a mirror for the driver . MOT · eng_british_Manchester_II/john02a.cha, line 1045 · John 1;11
  6. to make way for the paver . MOT · eng_british_Manchester_II/john02a.cha, line 1151 · John 1;11
  7. he uses this for scooping up earth . MOT · eng_british_Manchester_II/john02a.cha, line 1264 · John 1;11
  1. CHIit's a biup@c .
    MOTyeah biup@c .
    INV*INV: oh is that for me ?
    INVthat's lovely .
    MOTbecause it goes biup@o .
  2. MOTnow go and get one of the diggers .
    MOTsee if we can find where the digger goes .
    MOT*MOT: can you fetch a digger for me , John ?
    CHIhere .
    MOTblue digger .
  3. MOTI think he's fallen .
    MOThe's fallen on the floor , John by your chair .
    INV*INV: do you want me to hold that for a minute ?
    CHIthere it is .
    CHIoh here cow .
  4. CHIaah .
    MOTit's funny , isn't it ?
    MOT*MOT: they've got oranges for their nose [/] noses .
    CHIthere snowman .
    CHIthere spider .
  5. MOTyeah steering wheel .
    CHIxxx .
    MOT*MOT: and a mirror for the driver .
    MOTso he can see behind him .
    MOTand what are these ?
  6. MOTit's making a road .
    MOThe's moving all that soil .
    MOT*MOT: to make way for the paver .
    MOTand then this one will press it all down flat .
    MOTthen another truck will come along with the tarmac .
  7. MOTlook at his big arm .
    MOTit looks like teeth .
    MOT*MOT: he uses this for scooping up earth .
    MOTand this is where the men sit to work .
    CHIbolt .

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_II3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john02a.chaJohn 1;11.291,874773.74

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.

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