PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (261 utterances, 1,172 words searched).

  1. Sarah # I think Judy might take these . MOT · eng_USA_Brown/sarah129.cha, line 151 · Sarah 4;10
  2. I don't know what to do with these things . MOT · eng_USA_Brown/sarah129.cha, line 723 · Sarah 4;10
  3. so I can figure out these toe shoes . MOT · eng_USA_Brown/sarah129.cha, line 769 · Sarah 4;10
  4. so I can figure out these toe shoes . MOT · eng_USA_Brown/sarah129.cha, line 774 · Sarah 4;10
  5. you don't know what to use on these # do you ? MOT · eng_USA_Brown/sarah129.cha, line 804 · Sarah 4;10
  6. yeah # Esther will probably have a fit when she sees these . MOT · eng_USA_Brown/sarah129.cha, line 895 · Sarah 4;10
  1. eng_USA_Brown/sarah129.cha, line 151 · Sarah, 4;10.27
    CHII buyeded@n all the stuff .
    CHIMama # my feather .
    MOT*MOT: Sarah # I think Judy might take these .
    CHIwhy ?
    MOTI don't know what happened to the white one # though .
  2. eng_USA_Brown/sarah129.cha, line 723 · Sarah, 4;10.27
    CHIyou try ta(ke) .
    CHIme # I'm on a pony (a)n(d) me for a ride .
    MOT*MOT: I don't know what to do with these things .
    CHI(a)n(d) tell it xxx .
    CHI(a)n(d) send me all away .
  3. eng_USA_Brown/sarah129.cha, line 769 · Sarah, 4;10.27
    MOTno .
    CHIwhy ?
    MOT*MOT: so I can figure out these toe shoes .
    CHIhuh ?
    MOTso I can figure out these toe shoes .
  4. eng_USA_Brown/sarah129.cha, line 774 · Sarah, 4;10.27
    MOTso I can figure out these toe shoes .
    CHIhuh ?
    MOT*MOT: so I can figure out these toe shoes .
    CHIeasy off .
    CHIwater !
  5. eng_USA_Brown/sarah129.cha, line 804 · Sarah, 4;10.27
    CHIhuh ?
    MOTit'll probably get worse than that .
    MOT*MOT: you don't know what to use on these # do you ?
    CHIme I'm on a pony # (a)n(d) xxx .
    GAIwhat about Carbona ?
  6. eng_USA_Brown/sarah129.cha, line 895 · Sarah, 4;10.27
    GAIwhat ?
    CHImaybe Esther will have a fit .
    MOT*MOT: yeah # Esther will probably have a fit when she sees these .
    CHI(be)cause it's gonna be more dirtier # huh Ma ?
    MOTyeah # honey .

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_Brown5.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah129.chaSarah 4;10.271,172665.12

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. these6 · 100.0%