PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

8.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (417 utterances, 1,630 words searched).

  1. MOTdo you want a pencil ?
    CHIyeah .
    MOT*MOT: yes ?
    MOTwell this one is broken .
    MOTyou find one in here , John .
  2. MOTdo you want this one ?
    CHIand a mouse .
    MOT*MOT: oh yes .
    MOTwhat's the mouse doing ?
    CHIdoing [*] a violin .
  3. MOTvery good .
    CHII 0have [*] done a b@l .
    MOT*MOT: yes .
    MOTdo you want to do another one ?
    MOThere's a p@l .
  4. CHIand that .
    INVoh yeah .
    INV*INV: yes .
    INVthat one's not very happy I don't think .
    CHIwant this one .
  5. INVlet me see .
    CHIone is happy .
    INV*INV: oh yes .
    INVthat one's happy , isn't he ?
    INVand that one's not very happy .
  6. MOTcan you draw the happy face ?
    CHII [/] I 0have [*] done this one .
    MOT*MOT: oh yes .
    MOTcarefully .
    MOTyeah .
  7. INVcan you see any ?
    CHI<it's a> [/] it's a clown .
    INV*INV: yes .
    INVthey're all clowns .
    INVit says picture sticker .
  8. MOTcan you do that ?
    MOTgood .
    MOT*MOT: oh yes .
    MOTthat's come detached , hasn't it from the mouse bit never mind .
    MOTthat's a good whisker .
  9. MOToh: that's a nice long one .
    CHIbig whisker .
    MOT*MOT: yes .
    MOTbig whisker .
    MOTdraw another one .
  10. MOTthat's really good , John .
    CHIbig teeth .
    MOT*MOT: yes .
    MOTwhat about doing the curly tail ?
    CHImmhm .
  11. MOTyou've had enough now ?
    CHIyes .
    MOT*MOT: yes .
    CHII done that drawing .
    CHIthat's another whale .
  12. MOThow about making a car out of the chair ?
    CHIyes .
    MOT*MOT: yes .
    MOTcan you do this ?
    CHIum +...
  13. MOTwhat is ?
    CHIyou come in [/] <in the> [/] in the happy digger ?
    MOT*MOT: yes .
    MOTI'd like to go in the happy digger .
    CHIyou go in this .
  14. CHII buy some sugar .
    MOToh sugar .
    MOT*MOT: yes .
    CHIit's gone .
    CHIit's gone .

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_II8.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john25a.chaJohn 2;7.241,63014148.59

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. yes14 · 100.0%