PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

5.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (247 utterances, 1,182 words searched).

  1. it looks like # she was out in the rain huh ? MOT · eng_USA_Brown/sarah088.cha, line 148 · Sarah 4;00
  2. does your tummy have holes in it like that ? FAT · eng_USA_Brown/sarah088.cha, line 161 · Sarah 4;00
  3. looks like it's goin(g) to die . MOT · eng_USA_Brown/sarah088.cha, line 1014 · Sarah 4;00
  4. has she ever had it cut before # like +... FAT · eng_USA_Brown/sarah088.cha, line 1231 · Sarah 4;00
  5. you like it short like that # Sarah ? FAT · eng_USA_Brown/sarah088.cha, line 1248 · Sarah 4;00
  6. you like it short like that # Sarah ? FAT · eng_USA_Brown/sarah088.cha, line 1248 · Sarah 4;00
  7. xxx [<] like it short ? FAT · eng_USA_Brown/sarah088.cha, line 1266 · Sarah 4;00
  1. CHIhere comes pretty dollie .
    MOTyeah .
    MOT*MOT: it looks like # she was out in the rain huh ?
    MOTit looks it .
    FATwhat happened to her tummy ?
  2. FATwhat happened to her tummy ?
    CHII don't know .
    FAT*FAT: does your tummy have holes in it like that ?
    CHIno .
    MOThow_come this is ?
  3. CHIhuh ?
    MOTlook at it .
    MOT*MOT: looks like it's goin(g) to die .
    CHIcomin(g) off # Mommy .
    CHIbetter # water on it .
  4. MOTthe woman washed it # (a)n(d) she sat up in a chair # didn't ya huh ?
    MOTshe was a real good girl .
    FAT*FAT: has she ever had it cut before # like +...
    MOTyeah # when she was small .
    FATunderneath xxx .
  5. MOTuh # when you were a little girl (a)n(d) you went down to have your hair cut .
    MOTyou were real little .
    FAT*FAT: you like it short like that # Sarah ?
    CHIyeah .
    MOThow_come ?
  6. CHII want to do it .
    MOTxxx [?] .
    FAT*FAT: xxx [<] like it short ?
    CHIno .
    MOTwhat did Donna say about your haircut ?

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_Brown5.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah088.chaSarah 4;0.141,182675.92

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. like7 · 100.0%