PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,645 words searched).

  1. you know how to button ? MEL · eng_USA_Brown/sarah105.cha, line 135 · Sarah 4;04
  2. how's your cold ? MOT · eng_USA_Brown/sarah105.cha, line 581 · Sarah 4;04
  3. how many fingers am I touching you you with ? MEL · eng_USA_Brown/sarah105.cha, line 931 · Sarah 4;04
  4. how many of my [?] fingers ? MEL · eng_USA_Brown/sarah105.cha, line 934 · Sarah 4;04
  5. how (a)bout the shoes ? FAT · eng_USA_Brown/sarah105.cha, line 1213 · Sarah 4;04
  6. how (a)bout the arms ? FAT · eng_USA_Brown/sarah105.cha, line 1229 · Sarah 4;04
  7. no # how (a)bout you drawing the hands . FAT · eng_USA_Brown/sarah105.cha, line 1250 · Sarah 4;04
  8. you don't know how . FAT · eng_USA_Brown/sarah105.cha, line 1257 · Sarah 4;04
  1. MOThere's Grandpa McCarty .
    CHII know how to button .
    MEL*MEL: you know how to button ?
    MOTsee ?
    MOTAunt_Tillie .
  2. FATyeah # what's wrong with you ?
    FATare you sick ?
    MOT*MOT: how's your cold ?
    CHIgood .
    FATyour nose is running .
  3. MELok now # now keep your eyes shut .
    MELno cheating .
    MEL*MEL: how many fingers am I touching you you with ?
    MELhow many of my [?] fingers ?
    CHIum # two .
  4. MELno cheating .
    MELhow many fingers am I touching you you with ?
    MEL*MEL: how many of my [?] fingers ?
    CHIum # two .
    MELlook .
  5. CHIyeah # xxx piggies .
    FATok .
    FAT*FAT: how (a)bout the shoes ?
    CHIyeah .
    FATok .
  6. CHIknees .
    FATyeah .
    FAT*FAT: how (a)bout the arms ?
    CHIok .
    FATdraw em .
  7. FATno .
    CHIok Mommy # you draw the hands .
    FAT*FAT: no # how (a)bout you drawing the hands .
    MOTno # you draw the hands .
    FATI know why you don't wanna draw the hands .
  8. MOTno # you draw the hands .
    FATI know why you don't wanna draw the hands .
    FAT*FAT: you don't know how .
    CHII'll just do two fingers .
    CHIthere .

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_Brown4.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah105.chaSarah 4;4.181,645884.86

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. how8 · 100.0%