PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (939 utterances, 2,180 words searched).

  1. how many pennies you want ? FAT · eng_USA_Brown/sarah018.cha, line 648
  2. that's all I want . FAT · eng_USA_Brown/sarah018.cha, line 806
  3. how many you want ? FAT · eng_USA_Brown/sarah018.cha, line 835
  4. you want three pennies ? FAT · eng_USA_Brown/sarah018.cha, line 858
  5. don't you want to go over to Nana's for ice+cream ? FAT · eng_USA_Brown/sarah018.cha, line 1468
  6. do you want this doggie ? FAT · eng_USA_Brown/sarah018.cha, line 1909
  7. you want Courtney to fall down ? FAT · eng_USA_Brown/sarah018.cha, line 2046
  1. eng_USA_Brown/sarah018.cha, line 648
    SARpocket .
    MOTwhyn't [: why don't] you give her pennies in there .
    FAT*FAT: how many pennies you want ?
    SARtwo p(enn)ies .
    FATtake two .
  2. eng_USA_Brown/sarah018.cha, line 806
    FATbread .
    FATthank you .
    FAT*FAT: that's all I want .
    MOTyou're not supposed to xx .
    FATxx .
  3. eng_USA_Brown/sarah018.cha, line 835
    SARright here ?
    SARoh .
    FAT*FAT: how many you want ?
    SARtwo p(enn)ies yy .
    FATtake two .
  4. eng_USA_Brown/sarah018.cha, line 858
    MOTDaddy wants three .
    SARthree .
    FAT*FAT: you want three pennies ?
    SARthree p(enn)ies .
    FAThere's three pennies .
  5. eng_USA_Brown/sarah018.cha, line 1468
    SARice+cream .
    FATwait a minute .
    FAT*FAT: don't you want to go over to Nana's for ice+cream ?
    SAR0 .
    FAThuh ?
  6. eng_USA_Brown/sarah018.cha, line 1909
    FATI'm gonna throw the doggie out the window .
    SARno .
    FAT*FAT: do you want this doggie ?
    SAR0 .
    FATwhy ?
  7. eng_USA_Brown/sarah018.cha, line 2046
    SARxx .
    FATwhat are you throwin(g) then all on the floor for ?
    FAT*FAT: you want Courtney to fall down ?
    FATwhere's the fire+engine ?
    SARright here .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown3.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah018.chaSarah 2,180773.21

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. want7 · 100.0%