PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,280 words searched).

  1. tell Grampy what kind of dress you got on . FAT · eng_USA_Brown/sarah010.cha, line 282 · Sarah 2;04
  2. take it out of your mouth . MOT · eng_USA_Brown/sarah010.cha, line 318 · Sarah 2;04
  3. what kind of car has Daddy got ? FAT · eng_USA_Brown/sarah010.cha, line 328 · Sarah 2;04
  4. you tell Daddy to fix the old iron # and save lots of money . MOT · eng_USA_Brown/sarah010.cha, line 1291 · Sarah 2;04
  5. take that out of your mouth . MOT · eng_USA_Brown/sarah010.cha, line 1318 · Sarah 2;04
  6. no # it's all right # this ribbon can stay here # you have lots of ribbon . MOT · eng_USA_Brown/sarah010.cha, line 1668 · Sarah 2;04
  7. want a glass of milk ? MOT · eng_USA_Brown/sarah010.cha, line 1828 · Sarah 2;04
  1. CHIxxx .
    MOTwhat about Grampy # want to talk to Grampy on the phone ?
    FAT*FAT: tell Grampy what kind of dress you got on .
    CHII <a dress> [?] .
    FATgot a pretty dress on .
  2. MOTwhere'd he go ?
    CHIxxx .
    MOT*MOT: take it out of your mouth .
    CHIhorsie .
    FATwhat horsie ?
  3. MOTwhat horsie ?
    CHIxxx .
    FAT*FAT: what kind of car has Daddy got ?
    FATFord ?
    CHIFord .
  4. CHInew iron .
    FATfor Christmas .
    MOT*MOT: you tell Daddy to fix the old iron # and save lots of money .
    CHImo(ne)y .
    CHIxxx .
  5. FATdid you go out yesterday ?
    FAThuh ?
    MOT*MOT: take that out of your mouth .
    FATwith Joann ?
    FATtalk to me .
  6. MOTmake a pretty bow .
    CHIxxx .
    MOT*MOT: no # it's all right # this ribbon can stay here # you have lots of ribbon .
    CHIxxx .
    MOTyeah .
  7. MOTyeah .
    CHImilk .
    MOT*MOT: want a glass of milk ?
    CHIyyy .
    CHIyyy Mommy .

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_Brown5.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah010.chaSarah 2;4.191,280775.47

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.

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