PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (380 utterances, 1,634 words searched).

  1. doesn't she have a pretty face ? MOT · eng_USA_Brown/sarah107.cha, line 217 · Sarah 4;05
  2. doesn't she ? MOT · eng_USA_Brown/sarah107.cha, line 221 · Sarah 4;05
  3. why doesn't she work ? MOT · eng_USA_Brown/sarah107.cha, line 259 · Sarah 4;05
  4. your baking oven doesn't ? GAI · eng_USA_Brown/sarah107.cha, line 313 · Sarah 4;05
  5. this looks like an Easter basket # doesn't it ? GAI · eng_USA_Brown/sarah107.cha, line 1147 · Sarah 4;05
  1. CHIyeah .
    GAIoh .
    MOT*MOT: doesn't she have a pretty face ?
    GAIyes .
    MOTdoesn't she ?
  2. MOTdoesn't she have a pretty face ?
    GAIyes .
    MOT*MOT: doesn't she ?
    GAIwhat's that in her hair ?
    MOTcurlers .
  3. MOTshow her how she works .
    CHIshe doesn't work .
    MOT*MOT: why doesn't she work ?
    MOToh # you put the batteries in Baby_Boo ?
    MOTyeah # she goes .
  4. GAIwhat ?
    CHImy baking oven don't work .
    GAI*GAI: your baking oven doesn't ?
    GAIwhy not ?
    CHIbecause # nobody didn't broke it .
  5. GAIam I a bunny ?
    CHIyeah .
    GAI*GAI: this looks like an Easter basket # doesn't it ?
    CHIyup # it is .
    MOTwho gave you that # Sarah ?

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_Brown3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah107.chaSarah 4;5.041,634553.06

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. doesn't5 · 100.0%