PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

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

  1. yeah there's a big house . MOT · eng_british_Manchester_II/john02a.cha, line 218 · John 1;11
  2. oh there's another digger . MOT · eng_british_Manchester_II/john02a.cha, line 321 · John 1;11
  3. there's another puzzle over there if you want to do another one . MOT · eng_british_Manchester_II/john02a.cha, line 584 · John 1;11
  4. look there's a leg and a foot . MOT · eng_british_Manchester_II/john02a.cha, line 737 · John 1;11
  5. there's a picture of a spider in your [/] your animal book , John . MOT · eng_british_Manchester_II/john02a.cha, line 922 · John 1;11
  6. underneath the truck book there's your animal book . MOT · eng_british_Manchester_II/john02a.cha, line 925 · John 1;11
  7. there's two rollers on this page . MOT · eng_british_Manchester_II/john02a.cha, line 1124 · John 1;11
  8. there's a green roller and a yellow roller . MOT · eng_british_Manchester_II/john02a.cha, line 1127 · John 1;11
  9. there's a man running . MOT · eng_british_Manchester_II/john02a.cha, line 1184 · John 1;11
  10. there's the bulldozer . MOT · eng_british_Manchester_II/john02a.cha, line 1225 · John 1;11
  11. there's lots here , aren't there ? INV · eng_british_Manchester_II/john02a.cha, line 1339 · John 1;11
  1. MOTlook at the rain .
    CHIhouse .
    MOT*MOT: yeah there's a big house .
    CHIhot .
    MOTyes very hot .
  2. MOTpop .
    MOTwhat else shall we have ?
    MOT*MOT: oh there's another digger .
    MOTa different digger .
    MOTthere .
  3. MOTyou pop them out .
    MOTvery good , John .
    MOT*MOT: there's another puzzle over there if you want to do another one .
    MOTyour farm puzzle .
    CHIfarm .
  4. MOTit looks like a leg .
    MOTwith a foot on it , doesn't it ?
    MOT*MOT: look there's a leg and a foot .
    CHIfoot .
    MOTit's a foot .
  5. CHIa spider .
    INVa spider mmhm .
    MOT*MOT: there's a picture of a spider in your [/] your animal book , John .
    MOTunderneath the truck book there's your animal book .
    MOToh you prefer that one ?
  6. INVa spider mmhm .
    MOTthere's a picture of a spider in your [/] your animal book , John .
    MOT*MOT: underneath the truck book there's your animal book .
    MOToh you prefer that one ?
    MOTokay .
  7. CHIyellow roller .
    MOTit is yellow roller .
    MOT*MOT: there's two rollers on this page .
    MOTthere's a green roller and a yellow roller .
    MOTtwo rollers .
  8. MOTit is yellow roller .
    MOTthere's two rollers on this page .
    MOT*MOT: there's a green roller and a yellow roller .
    MOTtwo rollers .
    MOTwow .
  9. MOTlet me have this bottle .
    MOToh look .
    MOT*MOT: there's a man running .
    MOThe's running with a bucket .
    MOTand the bucket's full of water .
  10. MOTnot those in the park anyway .
    MOTthey're very dirty , aren't they now ?
    MOT*MOT: there's the bulldozer .
    MOTthe bucket .
    CHIroller .
  11. CHInut .
    INVoh yes so it is .
    INV*INV: there's lots here , aren't there ?
    CHIbolt .
    INVoh yeah .

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_II5.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john02a.chaJohn 1;11.291,87411115.87

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. there's11 · 100.0%