PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. I know how to do it . ANN · eng_USA_Brown/sarah092.cha, line 234 · Sarah 4;01
  2. I don't know how you're gonna be able to get them out with the rest of the page of… MOT · eng_USA_Brown/sarah092.cha, line 274 · Sarah 4;01
  3. oh # I know . ANN · eng_USA_Brown/sarah092.cha, line 419 · Sarah 4;01
  4. oh I thought these were just # you know # like things . ANN · eng_USA_Brown/sarah092.cha, line 437 · Sarah 4;01
  5. I know . ANN · eng_USA_Brown/sarah092.cha, line 594 · Sarah 4;01
  6. yeah # well # you know how to do them too . MOT · eng_USA_Brown/sarah092.cha, line 860 · Sarah 4;01
  7. does she know you're over here ? MOT · eng_USA_Brown/sarah092.cha, line 932 · Sarah 4;01
  8. I don't know where this goes # honey . MOT · eng_USA_Brown/sarah092.cha, line 989 · Sarah 4;01
  9. I don't know either . ANN · eng_USA_Brown/sarah092.cha, line 993 · Sarah 4;01
  1. eng_USA_Brown/sarah092.cha, line 234 · Sarah, 4;1.18
    CHIlike this .
    CHII'll show ya .
    ANN*ANN: I know how to do it .
    ANNI'm punching it out # Sarah .
    MOTlet her punch some out # too .
  2. eng_USA_Brown/sarah092.cha, line 274 · Sarah, 4;1.18
    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 .
  3. eng_USA_Brown/sarah092.cha, line 419 · Sarah, 4;1.18
    ANNwhat do you think you do with these these things ?
    ANNwhat do you do with these ?
    ANN*ANN: oh # I know .
    CHIyou paste em .
    ANNwant me to do it ?
  4. eng_USA_Brown/sarah092.cha, line 437 · Sarah, 4;1.18
    CHImy topper # (that)'s [?] my topper .
    ANNoh # you did this ?
    ANN*ANN: oh I thought these were just # you know # like things .
    MOTyeah .
    MOTnow wait a minute now .
  5. eng_USA_Brown/sarah092.cha, line 594 · Sarah, 4;1.18
    ANNthen she'll be in first grade # then she'll be our room .
    MOTif she goes to Saint Paul's # you'll have to take her to school .
    ANN*ANN: I know .
    ANNI will .
    ANNI'll be taking you to school .
  6. eng_USA_Brown/sarah092.cha, line 860 · Sarah, 4;1.18
    CHIshe knows how to do em .
    MOThere # Sarah .
    MOT*MOT: yeah # well # you know how to do them too .
    MOTyou stick this one in first xxx .
    MELhow old is he ?
  7. eng_USA_Brown/sarah092.cha, line 932 · Sarah, 4;1.18
    ANNNana .
    MOTNana ?
    MOT*MOT: does she know you're over here ?
    ANNyeah .
    ANNshe xxx Sarah's in school xxx .
  8. eng_USA_Brown/sarah092.cha, line 989 · Sarah, 4;1.18
    ANNSarah .
    CHIo:h # the church .
    MOT*MOT: I don't know where this goes # honey .
    ANNthis ?
    ANNI don't know either .
  9. eng_USA_Brown/sarah092.cha, line 993 · Sarah, 4;1.18
    MOTI don't know where this goes # honey .
    ANNthis ?
    ANN*ANN: I don't know either .
    CHIit goes right there .
    MOTyeah # let her put it in .

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_Brown5.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah092.chaSarah 4;1.181,625995.54

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. know9 · 100.0%