PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,625 words searched).

  1. I don't know how you're gonna be able to get them out with the rest of the page off . MOT · eng_USA_Brown/sarah092.cha, line 274 · Sarah 4;01
  2. what do you do with these ? ANN · eng_USA_Brown/sarah092.cha, line 412 · Sarah 4;01
  3. what do you think you do with these these things ? ANN · eng_USA_Brown/sarah092.cha, line 414 · Sarah 4;01
  4. what do you do with these ? ANN · eng_USA_Brown/sarah092.cha, line 417 · Sarah 4;01
  5. now what did I do with the scissors ? MOT · eng_USA_Brown/sarah092.cha, line 484 · Sarah 4;01
  6. d(o) you go to school with Kathy today ? MOT · eng_USA_Brown/sarah092.cha, line 569 · Sarah 4;01
  1. MOTit's no good .
    CHIwhy ?
    MOT*MOT: I don't know how you're gonna be able to get them out with the rest of the page off .
    CHIlike yesterday ?
    MOTmmhm .
  2. CHIuh uh a roll # huh ?
    CHIChatty_Charming .
    ANN*ANN: what do you do with these ?
    ANNwhat do you think you do with these these things ?
    ANNwhat do you do with these ?
  3. CHIChatty_Charming .
    ANNwhat do you do with these ?
    ANN*ANN: what do you think you do with these these things ?
    ANNwhat do you do with these ?
    ANNoh # I know .
  4. ANNwhat do you do with these ?
    ANNwhat do you think you do with these these things ?
    ANN*ANN: what do you do with these ?
    ANNoh # I know .
    CHIyou paste em .
  5. MOTyou can do the next one # alright ?
    CHIalright .
    MOT*MOT: now what did I do with the scissors ?
    MOTlook on the floor and see if you see .
    CHIAnn_Marie .
  6. CHIget this out .
    CHIget this house off .
    MOT*MOT: d(o) you go to school with Kathy today ?
    ANNyeah # and Betty .
    MOTBetty went to school today # Saint Paul's ?

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_Brown3.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah092.chaSarah 4;1.181,625663.69

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. with6 · 100.0%