PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

8.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (265 utterances, 956 words searched).

  1. how would a cupcake out of that taste ? FAT · eng_USA_Brown/sarah089.cha, line 72 · Sarah 4;00
  2. how do they feel ? FAT · eng_USA_Brown/sarah089.cha, line 121 · Sarah 4;00
  3. there # how's that ? MOT · eng_USA_Brown/sarah089.cha, line 408 · Sarah 4;00
  4. how about you ? FAT · eng_USA_Brown/sarah089.cha, line 536 · Sarah 4;00
  5. how's that # Sarah ? MOT · eng_USA_Brown/sarah089.cha, line 588 · Sarah 4;00
  6. do you know how to play pattycake ? FAT · eng_USA_Brown/sarah089.cha, line 1161 · Sarah 4;00
  7. how do you play ? FAT · eng_USA_Brown/sarah089.cha, line 1163 · Sarah 4;00
  8. who knows how yas [: you] spell Sarah ? MOT · eng_USA_Brown/sarah089.cha, line 1330 · Sarah 4;00
  1. MOThmm ?
    CHIyyy I picks .
    FAT*FAT: how would a cupcake out of that taste ?
    MOT0 .
    CHIawful .
  2. FATthose your birthday shorts # Sarah ?
    CHIyeah .
    FAT*FAT: how do they feel ?
    CHIgood .
    MOThow_come you're not cryin(g) today ?
  3. CHII can fox about # hard .
    CHIum # this # got this xxx .
    MOT*MOT: there # how's that ?
    CHIwhat is it ?
    MOTwhat's it look like ?
  4. CHIpet .
    FATuh # dogs I think .
    FAT*FAT: how about you ?
    CHIum # monsters .
    FATmonsters .
  5. CHIxxx in it .
    CHIxxx .
    MOT*MOT: how's that # Sarah ?
    CHIwhat ?
    MOTthe sugar bowl .
  6. MOTdon't put it on that .
    FATthat's not a baby .
    FAT*FAT: do you know how to play pattycake ?
    FAThow do you play ?
    CHIpattycake # pattycake baker's man .
  7. FATthat's not a baby .
    FATdo you know how to play pattycake ?
    FAT*FAT: how do you play ?
    CHIpattycake # pattycake baker's man .
    CHI# xxx baker's me .
  8. FATa cat .
    CHIa &p +...
    MOT*MOT: who knows how yas [: you] spell Sarah ?
    CHIknows how ya spell Sarah ?
    MOToh you can't spell it .

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_Brown8.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah089.chaSarah 4;0.28956888.37

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%