PHPCLANCHILDES with regular expressions

18 matches in 18 utterances

12.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (490 utterances, 1,444 words searched).

  1. INVmmhm .
    MOTpizzas .
    MOT*MOT: yeah .
    MOTyou like pizzas .
    INVpizzas .
  2. CHIorange .
    INVorange .
    INV*INV: yeah .
    MOTow !
    MOToh .
  3. CHImieow@o .
    INVmieow@o .
    INV*INV: yeah .
    INVcat+food .
    MOTwhat's that ?
  4. MOTchocolate .
    INVchocolate .
    INV*INV: yeah .
    CHImore .
    INVmore eggs .
  5. INVclever boy .
    CHImore .
    MOT*MOT: yeah .
    MOTmore shoes .
    INVmmm .
  6. MOTwhat's that ?
    CHIbananas .
    MOT*MOT: yeah .
    MOTwww .
    MOTbut you don't like bananas, do you ?
  7. MOT<a whale> [>] .
    INV<a whale> [<] .
    MOT*MOT: yeah .
    MOToh .
    CHIoh .
  8. CHIsoggy .
    MOTsoggy .
    MOT*MOT: yeah .
    CHIoh .
    MOTwww .
  9. MOTyou sound like a monkey .
    CHItelly .
    MOT*MOT: yeah .
    MOTit's finished .
    INVwww .
  10. MOThead .
    MOTyou'll bump your head .
    MOT*MOT: yeah .
    MOTplus that you'll break the cupboard .
    CHIthat .
  11. CHIbatterys .
    MOTbatterys .
    MOT*MOT: yeah .
    MOTno .
    MOTnot that then .
  12. INVpardon ?
    CHIxxx caterpillar .
    INV*INV: yeah .
    CHIoh .
    INVwhat's that ?
  13. MOTthey're your baby things .
    CHIbaby .
    MOT*MOT: yeah .
    MOTthey're xxx .
    CHIxxx .
  14. MOTtelephone ?
    CHIyeah .
    MOT*MOT: yeah ?
    MOTwell I don't know where the &han [/] handle's gone for that .
    CHIxxx .
  15. MOThere you are .
    MOTI took it off .
    MOT*MOT: yeah !
    CHI0 [=! sings] .
    INVwww .
  16. MOTare you gonna [: going to] come back in here ?
    CHIyeah .
    MOT*MOT: yeah .
    INVhello .
    MOTwhat do you want to do now ?
  17. MOTdon't normally play with these .
    CHIbaby toys .
    MOT*MOT: yeah .
    MOTbaby toys .
    CHIMummy .
  18. INVI'm sure there is .
    CHIcar .
    MOT*MOT: yeah .
    MOTwe'll go in the car in a bit .
    MOTwhere [//] who do you want to go and see ?

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_II12.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel01b.chaJoel 1;11.011,444181812.47

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. yeah18 · 100.0%