PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (372 utterances, 1,452 words searched).

  1. no # not now # you just ate . FAT · eng_USA_Brown/sarah021.cha, line 184 · Sarah 2;07
  2. no # not [//] later . FAT · eng_USA_Brown/sarah021.cha, line 254 · Sarah 2;07
  3. not me . FAT · eng_USA_Brown/sarah021.cha, line 330 · Sarah 2;07
  4. it's not a mouse . FAT · eng_USA_Brown/sarah021.cha, line 965 · Sarah 2;07
  5. <that's not> [//] no ! FAT · eng_USA_Brown/sarah021.cha, line 1007 · Sarah 2;07
  6. xxx not bad . MOT · eng_USA_Brown/sarah021.cha, line 1099 · Sarah 2;07
  7. xxx not a horsie . FAT · eng_USA_Brown/sarah021.cha, line 1307 · Sarah 2;07
  8. he's not wet . MOT · eng_USA_Brown/sarah021.cha, line 1391 · Sarah 2;07
  1. FATlater .
    CHII want cookie .
    FAT*FAT: no # not now # you just ate .
    FATwhat'd cha have for breakfast ?
    CHII had cookie .
  2. FATpretty nice dresses ?
    CHII want juice .
    FAT*FAT: no # not [//] later .
    MOTlater # you just had your breakfast .
    FAT<be(fore)> [/] before we go see the Easter_Bunny .
  3. MOTI didn't do it # who did it ?
    CHIDaddy .
    FAT*FAT: not me .
    MOTno .
    FATMichael ?
  4. FATwhy ?
    CHIxxx mouth .
    FAT*FAT: it's not a mouse .
    FATit's a little girl .
    CHIhere li(ttle) girl .
  5. FAT+" squeak@o squeak@o .
    CHII hit him .
    FAT*FAT: <that's not> [//] no !
    MOTno # you don't hit anybody .
    FATdo you want me to hit your baby ?
  6. CHI<bad bad bad bad> [/] bad .
    FATbad ?
    MOT*MOT: xxx not bad .
    FATit's your baby .
    FATyou're supposed to love her .
  7. CHIssh .
    CHII want horsie woowoowoo@b .
    FAT*FAT: xxx not a horsie .
    CHIxxx .
    CHIhe dance .
  8. MOTwhat ?
    CHIall wet .
    MOT*MOT: he's not wet .
    CHIhmm !
    CHIxxx .

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. Sarah eng_USA_Brown5.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah021.chaSarah 2;7.121,452885.51

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. not8 · 100.0%