PHPCLANCHILDES with regular expressions

15 matches in 14 utterances

9.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (345 utterances, 1,567 words searched).

  1. do you want to put <your bricks> [//] these bricks in there ? MOT · eng_british_Manchester_II/john13a.cha, line 36 · John 2;03
  2. there might be somebody who's angry but the dragon is happy . MOT · eng_british_Manchester_II/john13a.cha, line 466 · John 2;03
  3. there's a xxx . MOT · eng_british_Manchester_II/john13a.cha, line 479 · John 2;03
  4. and there he is . MOT · eng_british_Manchester_II/john13a.cha, line 496 · John 2;03
  5. I wonder what's happened there . MOT · eng_british_Manchester_II/john13a.cha, line 539 · John 2;03
  6. that's some real sheep there . MOT · eng_british_Manchester_II/john13a.cha, line 606 · John 2;03
  7. and there's some babys . MOT · eng_british_Manchester_II/john13a.cha, line 608 · John 2;03
  8. there's some more unusual instruments . MOT · eng_british_Manchester_II/john13a.cha, line 641 · John 2;03
  9. is there a knot in the end ? MOT · eng_british_Manchester_II/john13a.cha, line 770 · John 2;03
  10. there's a snake there . MOT · eng_british_Manchester_II/john13a.cha, line 828 · John 2;03
  11. there's a snake there . MOT · eng_british_Manchester_II/john13a.cha, line 828 · John 2;03
  12. there we go . MOT · eng_british_Manchester_II/john13a.cha, line 871 · John 2;03
  13. and there are little hammers hitting the strings so that when we press the keys… MOT · eng_british_Manchester_II/john13a.cha, line 945 · John 2;03
  14. there's a what ? MOT · eng_british_Manchester_II/john13a.cha, line 1026 · John 2;03
  15. there's another engine yeah . MOT · eng_british_Manchester_II/john13a.cha, line 1118 · John 2;03
  1. MOTmmhm .
    MOTit is empty .
    MOT*MOT: do you want to put <your bricks> [//] these bricks in there ?
    CHIbricks in there .
    MOTmmhm .
  2. MOT<he's a> [/] he's a good dragon I think .
    CHIum angry .
    MOT*MOT: there might be somebody who's angry but the dragon is happy .
    MOTwhat can you see here ?
    MOTwhat can you see ?
  3. MOTcockerel .
    MOTmmhm .
    MOT*MOT: there's a xxx .
    MOTwhat shape is on the end of the spoon ?
    MOTcan you see the shape ?
  4. MOTthey're called love spoons .
    MOTand handles .
    MOT*MOT: and there he is .
    MOTthe red happy dragon .
    CHIsheeps [*] .
  5. MOThis toe is the size of a tree .
    MOToh dear .
    MOT*MOT: I wonder what's happened there .
    MOTI think he's so tired he has to prop his eyelids up with forks .
    MOTI think that's what's happened .
  6. MOTand they went back home and had a cup of tea .
    MOTthat's the end .
    MOT*MOT: that's some real sheep there .
    MOTand there's some babys .
    MOTbaby lambs .
  7. MOTthat's the end .
    MOTthat's some real sheep there .
    MOT*MOT: and there's some babys .
    MOTbaby lambs .
    MOTthey're small , aren't they ?
  8. MOTer I don't think that's hungry .
    MOTit's called the little soldier .
    MOT*MOT: there's some more unusual instruments .
    MOTsomething called crumhorns .
    MOTmade a long time ago .
  9. MOTvery good , John .
    MOTwell done .
    MOT*MOT: is there a knot in the end ?
    MOTlet's make a bigger knot so they don't all come off .
    MOTunless you want it off .
  10. MOThere you are .
    MOTput another one on .
    MOT*MOT: there's a snake there .
    CHIsss@o .
    MOToh steady , John .
  11. MOToh: .
    MOTwe're out of synch now , John .
    MOT*MOT: there we go .
    MOTa jingly noise .
    CHIdon't want it .
  12. MOTthat's right .
    MOTlook at all these strings inside the piano .
    MOT*MOT: and there are little hammers hitting the strings so that when we press the keys down the hammer hits the string and makes a sound .
    MOTthis is a big piano , isn't it ?
    MOTwe've got a different sort of piano .
  13. MOTwhat's on this page ?
    CHIship boat .
    MOT*MOT: there's a what ?
    CHIship boat .
    MOTship boat ?
  14. MOTjust like birds have wings .
    CHIengine .
    MOT*MOT: there's another engine yeah .
    CHIdigger .
    MOTyes .

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_II9.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john13a.chaJohn 2;3.191,56714159.57

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. there15 · 100.0%