PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

4.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (305 utterances, 1,227 words searched).

  1. I don't know if you heard it before (be)cause I think I drowned her out a little bit too soon but she couldn't think, I forget what it wa… MEL · eng_USA_Brown/sarah104.cha, line 399 · Sarah 4;04
  2. I told her +... MOT · eng_USA_Brown/sarah104.cha, line 1060 · Sarah 4;04
  3. because I told her on payday I'd buy her a toy # y(ou) know . MOT · eng_USA_Brown/sarah104.cha, line 1070 · Sarah 4;04
  4. because I told her on payday I'd buy her a toy # y(ou) know . MOT · eng_USA_Brown/sarah104.cha, line 1070 · Sarah 4;04
  5. you didn't miss her . FAT · eng_USA_Brown/sarah104.cha, line 1091 · Sarah 4;04
  6. what did Gigi tell you that Mary_Poppins says when she does her magic ? MOT · eng_USA_Brown/sarah104.cha, line 1290 · Sarah 4;04
  1. CHIit's in my drawer .
    MELit was interesting .
    MEL*MEL: I don't know if you heard it before (be)cause I think I drowned her out a little bit too soon but she couldn't think, I forget what it was about # but she couldn't think whether to say +"/.
    MEL+" is .
    MELshe was saying are ["] for a plural thing and then she sort of went +"/.
  2. MOTSarah # you're a gem # honestly .
    CHIsee ?
    MOT*MOT: I told her +...
    MOTdid I tell ya what she said to me this morning ?
    FATwhat ?
  3. FATwhat ?
    MOTdid I tell ya what she said to me this mornin(g) ?
    MOT*MOT: because I told her on payday I'd buy her a toy # y(ou) know .
    MOTso she said to me this mornin(g) # is today payday # is today payday ?
    MOTpayday she's gonna buy a toy .
  4. MOTdid you miss me ?
    CHIno .
    FAT*FAT: you didn't miss her .
    CHIno .
    MOTshe wouldn't miss me if I # were gone for a year # I think .
  5. MOTwhat does she say ?
    CHIshe says # hey .
    MOT*MOT: what did Gigi tell you that Mary_Poppins says when she does her magic ?
    MOTwhen Gigi does magic ?
    MOThuh ?

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_Brown4.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah104.chaSarah 4;4.111,227564.89

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. her6 · 100.0%