PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

12.70 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (341 utterances, 1,260 words searched).

  1. MOToh dear .
    CHIa cake .
    MOT*MOT: mmm .
    MOTnow who likes cakes ?
    CHIyou like one ?
  2. CHIyou like one ?
    MOToh thank you .
    MOT*MOT: mmm .
    CHII can find a [/] a sausage .
    MOTthere might not be a sausage in there , Carl .
  3. CHIare you having some chips ?
    INVoh yes please .
    INV*INV: mmm thank you .
    CHIthey 0are [*] very hot .
    MOToh they're too hot , are they ?
  4. CHIthese 0are [*] too hot .
    MOToh thank you .
    MOT*MOT: mmm .
    CHIwant one ?
    INVno thank you .
  5. MOTI'll do it .
    MOTI'll smell it .
    MOT*MOT: mmm .
    MOTsmells +/.
    CHIno .
  6. CHIAnna [/] Anna .
    INVokay then .
    INV*INV: mmm .
    INVthat's lovely .
    MOTwww .
  7. CHII want one .
    CHII want one .
    MOT*MOT: mmm tasty .
    MOTnice and sweet .
    CHIbite the cake .
  8. MOToh yes .
    MOTsorry .
    MOT*MOT: mmm .
    CHImmm .
    CHIbite it , Anna .
  9. INVokay .
    CHIbite .
    INV*INV: mmm .
    CHIyou bite and I get xxx .
    CHIthere's a grape in there .
  10. INVoh yes .
    CHItry it that strawberry .
    INV*INV: mmm .
    INVthat's a very nice strawberry .
    MOTthere you go .
  11. CHIsmell it .
    INVsmell it .
    INV*INV: mmm .
    INVsmells like a banana .
    CHIthis one .
  12. MOTget a knife .
    MOTput some butter on .
    MOT*MOT: mmm .
    MOToh I'll have it now .
    MOTI'll finish it off for you .
  13. MOTwhat else am I going to eat now ?
    CHInow apple .
    MOT*MOT: mmm .
    MOTCarl likes apples .
    CHIlike orange ?
  14. CHIand that's mine .
    MOTthanks very much .
    MOT*MOT: mmm .
    MOTit's a very nice biscuit .
    CHIyeah .
  15. MOToh yes .
    MOTput lots on please .
    MOT*MOT: mmm .
    CHII have a bite .
    CHIand crumbs .
  16. MOTjust pick one off .
    CHII have a grape .
    INV*INV: mmm .
    CHIoh: .
    MOTdon't throw them .

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. Carl eng_british_Manchester_I12.70
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl31b.chaCarl 2;7.111,260161612.70

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. mmm16 · 100.0%