PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

3.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (680 utterances, 2,443 words searched).

  1. she has moving parts . FAT · eng_USA_Brown/sarah062.cha, line 98 · Sarah 3;05
  2. +" she has moving parts . FAT · eng_USA_Brown/sarah062.cha, line 104 · Sarah 3;05
  3. she has to leave her diaper on . MOT · eng_USA_Brown/sarah062.cha, line 149 · Sarah 3;05
  4. has she ? FAT · eng_USA_Brown/sarah062.cha, line 1509 · Sarah 3;05
  5. see an r@l has a leg . FAT · eng_USA_Brown/sarah062.cha, line 1778 · Sarah 3;05
  6. it has two legs . MOT · eng_USA_Brown/sarah062.cha, line 1780 · Sarah 3;05
  7. an r@l has two legs and a p@l only has one . MOT · eng_USA_Brown/sarah062.cha, line 1787 · Sarah 3;05
  8. an r@l has two legs and a p@l only has one . MOT · eng_USA_Brown/sarah062.cha, line 1787 · Sarah 3;05
  1. FATwhat're ya turnin(g) her head around for ?
    CHIsee what's in it .
    FAT*FAT: she has moving parts .
    CHIhuh ?
    FATI said # +"/.
  2. CHIhuh ?
    FATI said # +"/.
    FAT*FAT: +" she has moving parts .
    CHIhere she go(t) mouth .
    MOTthere anything in it ?
  3. MOTwhy ?
    CHI(be)cause xxx .
    MOT*MOT: she has to leave her diaper on .
    MOThow ya goin(g) to feed her ?
    CHIno water in it .
  4. MOTshe's got to act like I ask ya .
    FATnope .
    FAT*FAT: has she ?
    CHIuh .
    MOTyeah # I think .
  5. FATan r@l ?
    FATthis is an r@l .
    FAT*FAT: see an r@l has a leg .
    MOTit has two legs .
    CHIhmm .
  6. FATthis is an r@l .
    FATsee an r@l has a leg .
    MOT*MOT: it has two legs .
    CHIhmm .
    MOTwell # that's how I taught her .
  7. CHIhmm .
    MOTwell # that's how I taught her .
    MOT*MOT: an r@l has two legs and a p@l only has one .
    FATyou know what that is ?
    CHIah # know .

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_Brown3.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah062.chaSarah 3;5.132,443783.27

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. has8 · 100.0%