PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

9.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (398 utterances, 1,702 words searched).

  1. INVlike that ?
    CHIthe paper .
    INV*INV: mmhm .
    CHIs@l .
    CHIs@l .
  2. INVthat's a five , isn't it ?
    CHIfive .
    INV*INV: mmhm .
    MOTthey're in this box , John .
    MOTyour numbers .
  3. INVthere you go .
    CHIx@l .
    INV*INV: mmhm .
    CHId@l .
    CHId@l .
  4. CHItiny .
    CHIbox .
    INV*INV: mmhm .
    INVit's um +...
    CHIbox .
  5. MOTJohn has blue eyes .
    CHIJohn's blue eyes .
    MOT*MOT: mmhm .
    CHIJohn's blue eyes .
    CHIblue .
  6. CHImy tape .
    CHImy tape .
    INV*INV: mmhm .
    CHImy tape .
    INVit's like [/] like your tape , isn't it ?
  7. CHImy tape .
    CHImy tape .
    INV*INV: mmhm .
    CHImy tape .
    INVit's my tape .
  8. INVyeah that's my watch .
    CHIwatch .
    INV*INV: mmhm that's right .
    CHIwatch .
    CHIwatch .
  9. MOTgood .
    MOTshall we have another one ?
    MOT*MOT: mmhm .
    MOTanother the blue one .
    MOTyou do it .
  10. CHIbox in car .
    CHIbox in car .
    INV*INV: mmhm .
    CHIbox in car .
    MOTwhere are your cars , John ?
  11. CHIbox .
    CHIbox .
    INV*INV: mmhm .
    INVyou know I get that later , don't you ?
    CHIbox .
  12. INVyou know I get that later , don't you ?
    CHIbox .
    INV*INV: mmhm .
    CHIbox .
    MOTcome on , John .
  13. INVyes it's my watch , isn't it ?
    CHIwatch .
    INV*INV: mmhm .
    CHIwatch .
    CHIoh: .
  14. MOTthank you .
    CHIscrewdriver .
    MOT*MOT: mmhm .
    MOToh I have to fix it , do I before I put it on ?
    CHIthis .
  15. MOTwhat's this ?
    CHIyellow .
    MOT*MOT: mmhm .
    MOTthat's yellow .
    MOTwhat's this called that you're eating ?
  16. CHIbutterfly .
    CHIbutterfly .
    MOT*MOT: mmhm .
    MOTdid you find the butterfly , John ?
    MOTcan you find where the butterfly goes ?

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_II9.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john08a.chaJohn 2;1.241,70216169.40

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. mmhm16 · 100.0%