PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

9.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (427 utterances, 1,651 words searched).

  1. MOThe's a nice doggie , isn't he ?
    CHIa baby doggie .
    MOT*MOT: no .
    MOTI don't think he's a baby doggie .
    MOTlooks like a grown+up doggie to me .
  2. MOTwho's this ?
    CHIthat 0is [*] a baby doggie .
    MOT*MOT: no .
    MOTthat's not a baby doggie .
    MOTit's a cow , Becky .
  3. CHIthis .
    CHIcan't remember that .
    MOT*MOT: no .
    MOTI can't remember that one .
    MOTthat must be new .
  4. CHII can't remember .
    MOTyou can't remember .
    MOT*MOT: no .
    MOTyou don't need to remember .
    MOTyou just [/] just look at it and see what it is .
  5. CHIit's a peach .
    MOTit's not a peach .
    MOT*MOT: no .
    MOTit's an onion .
    CHIwant an onion .
  6. MOTdo you know what that is ?
    CHIcoffee .
    MOT*MOT: no .
    MOTyou don't know what that is , do you ?
    CHIno .
  7. MOTI'll do it .
    CHIit's the wrong end .
    MOT*MOT: no .
    MOTit isn't the wrong end .
    CHIyes .
  8. CHIit is .
    CHIthere .
    MOT*MOT: no .
    MOTthat's xxx .
    MOTthat's not right , Becky .
  9. MOTlovely .
    CHIyou want a bite ?
    INV*INV: no thank you .
    CHIdo you want a bite , horse ?
    CHIxxx .
  10. MOTdo you want to do that ?
    CHIno .
    MOT*MOT: no .
    CHIno .
    CHIgot cheese .
  11. CHIa lemon .
    MOTnot a lemon .
    MOT*MOT: no .
    MOTthis is a lemon , look .
    MOTthis is a lemon .
  12. MOTmmhm .
    MOThe doesn't want any more .
    MOT*MOT: no .
    MOThe's had enough now .
    MOTno .
  13. MOTno .
    MOThe's had enough now .
    MOT*MOT: no .
    CHIxxx .
    MOTit's okay .
  14. CHIgo down .
    CHIbang@o .
    INV*INV: no .
    INVwww .
    MOTgo over there , Sukie .
  15. INVoh .
    MOTBecky .
    INV*INV: no .
    INVBecky [>] .
    MOTBecky [<] .
  16. MOTsee if you can draw a circle .
    CHIyou do it .
    MOT*MOT: no .
    MOTyou can't do it , can you ?
    MOTshall I do it ?

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_I9.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12b.chaBecky 2;3.271,65116169.69

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. no16 · 100.0%