PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

9.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 1,492 words searched).

  1. MOToh .
    CHIwhoops .
    MOT*MOT: no .
    MOTI don't think you have , have you ?
    CHIthink I have .
  2. CHIoh .
    CHIhe's cut off Mr [//] half of Mr_Fussy's moustache .
    MOT*MOT: oh no .
    CHIwe'll read &a this last page .
    CHIMr [//] look out the window .
  3. CHIno .
    CHIonly one .
    MOT*MOT: no .
    MOTyou read Mr_Clumsy and Mr_Mischief .
    CHIxxx .
  4. MOTyeah .
    CHIwhat about my gun .
    MOT*MOT: oh no .
    MOTnot your gun .
    CHII 0have [*] done you now .
  5. MOToh .
    MOTyou see .
    MOT*MOT: guns are no good .
    MOTwww .
    CHIoh .
  6. CHIxxx .
    MOTI mean you magazine on your table .
    MOT*MOT: no .
    MOTthis table .
    MOTyour blue table .
  7. CHIdid you see him ?
    MOTnot from here .
    MOT*MOT: no .
    CHIhello .
    CHIyou haven't seen him before , have you ?
  8. CHIhello .
    CHIyou haven't seen him before , have you ?
    MOT*MOT: no .
    MOTI haven't seen him before .
    MOTso you'll have to show me .
  9. MOTwhy ?
    CHIcan I rip it ?
    MOT*MOT: no .
    MOTyou can't rip it .
    CHIyou can put this [/] this off .
  10. CHIwhere's the other one ?
    MOTit was next to it .
    MOT*MOT: no .
    MOTit was +//.
    INVby your welly .
  11. MOTput a blouse on ?
    CHImy blouse , aren't they ?
    MOT*MOT: no .
    MOTyou don't wear a blouse , do you ?
    MOTgirls wear blouses .
  12. CHIno .
    CHIwe haven't .
    MOT*MOT: no .
    CHIoh .
    CHIthere's Mr_Bump .
  13. MOToh yeah .
    CHIhave you got one ?
    MOT*MOT: no .
    CHIyes .
    CHIhe's on the shelf .
  14. MOTis it ?
    CHIno .
    MOT*MOT: no ?
    MOToh dear .
    MOTI'm not doing very well , am I ?

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. Joel eng_british_Manchester_II9.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel33a.chaJoel 2;10.041,49214149.38

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. no14 · 100.0%