PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

11.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (351 utterances, 1,255 words searched).

  1. CHIyes .
    CHIhere you are .
    MOT*MOT: yes .
    CHI<we can we can put> [/] we can put it with my toys .
    MOTwith your toys ?
  2. MOTwith your toys ?
    CHIyes .
    MOT*MOT: yes .
    CHIxxx .
    CHIare you making my door for them ?
  3. CHIyeah .
    MOTum in a minute .
    MOT*MOT: yes .
    MOTlet me just finish this .
    CHIcan you make xxx .
  4. CHIxxx .
    CHIMum .
    MOT*MOT: yes , darling .
    CHIlook [/] look we 0have [*] got here .
    MOToh .
  5. CHIum is this for me ?
    MOTit can be .
    MOT*MOT: yes .
    CHIxxx .
    MOTit is .
  6. CHIxxx .
    MOTit is .
    MOT*MOT: yes .
    CHIthis .
    CHIthis .
  7. CHIwe buied@c [*] some cat+food , did [*] we ?
    MOTwe did .
    MOT*MOT: yes .
    CHIwhat's this one ?
    MOTthat's Whiskas cat+food .
  8. CHIcat [//] it's cat+food .
    MOTcat+food .
    MOT*MOT: yes .
    CHIit isn't Whiskas .
    MOTthat's what it says on it .
  9. CHIxxx .
    CHIdo you want some more milk ?
    MOT*MOT: yes please .
    MOTthank you .
    CHIwant some more milk ?
  10. CHIdid you have it , Mum ?
    CHIdid you had xxx .
    MOT*MOT: yes .
    MOTI had it .
    CHIdid [/] did you have +...
  11. CHIno .
    CHII haven't got a lemon .
    MOT*MOT: yes .
    MOTyou have .
    MOTI can see one there by the grapes .
  12. CHIcan we get the rest ?
    MOTwe can .
    MOT*MOT: yes .
    MOTthere's some more clothes in that tub .
    MOTthat tub there under the chair .
  13. MOTdo you want her to have this hat on ?
    CHIyes .
    MOT*MOT: yes ?
    CHIhat .
    CHIxxx .
  14. MOTyou want to take this out ?
    CHIyes .
    MOT*MOT: yes .
    MOTalright .
    CHIand I do like that .
  15. MOTwell .
    MOTthey go on .
    MOT*MOT: yes .
    MOTthey are rather big .
    MOTxxx .

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. Becky eng_british_Manchester_I11.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky22b.chaBecky 2;7.091,255151511.95

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. yes15 · 100.0%