PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (285 utterances, 1,412 words searched).

  1. how can I win ? GAI · eng_USA_Brown/sarah136.cha, line 107 · Sarah 5;00
  2. how about here ? GAI · eng_USA_Brown/sarah136.cha, line 122 · Sarah 5;00
  3. how's that ? MOT · eng_USA_Brown/sarah136.cha, line 616 · Sarah 5;00
  4. isn't it funny how somethin(g) can really hit them y(ou) know ? MOT · eng_USA_Brown/sarah136.cha, line 681 · Sarah 5;00
  5. how's that # see ? MOT · eng_USA_Brown/sarah136.cha, line 688 · Sarah 5;00
  6. let's put this one on # see how it looks . MOT · eng_USA_Brown/sarah136.cha, line 886 · Sarah 5;00
  7. how do you know about brothers ? MOT · eng_USA_Brown/sarah136.cha, line 1232 · Sarah 5;00
  1. CHInow # your turn .
    CHIuhoh # your turn .
    GAI*GAI: how can I win ?
    CHIum # by put em in straight .
    GAIby putting it straight ?
  2. CHIlike this .
    CHIthat's how I'm goin(g) do em .
    GAI*GAI: how about here ?
    CHIxxx .
    CHIbut only if you get dat one out .
  3. MOTwell # put it this way .
    MOTput your head through .
    MOT*MOT: how's that ?
    CHIgood .
    CHIwill that get dirty ?
  4. MOTlook in the dining+room mirror .
    MOTshe thinks she's gonna be a big shot shot in that outfit .
    MOT*MOT: isn't it funny how somethin(g) can really hit them y(ou) know ?
    MOTshe loves it .
    MOTshe's dyin(g) to wear this .
  5. MOTshe loves it .
    MOTshe's dyin(g) to wear this .
    MOT*MOT: how's that # see ?
    MOThuh ?
    CHIgood .
  6. GAIright .
    MOTbut now you're five .
    MOT*MOT: let's put this one on # see how it looks .
    CHIok .
    MOTI think all your clothes are gonna have to be shortened .
  7. MOTwhy don't you want a brother ?
    CHIbecause # I hate brothers .
    MOT*MOT: how do you know about brothers ?
    MOTyou don't even have one .
    CHIwell # they chase girls .

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_Brown4.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah136.chaSarah 5;0.161,412774.96

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. how7 · 100.0%