PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,032 words searched).

  1. …d) if your not good Donna won't come over this afternoon (a)n(d) play with you either . MOT · eng_USA_Brown/sarah076.cha, line 137 · Sarah 3;09
  2. you'll end up with another one . MOT · eng_USA_Brown/sarah076.cha, line 508 · Sarah 3;09
  3. we haven't taken any time with you lately have we ? MOT · eng_USA_Brown/sarah076.cha, line 698 · Sarah 3;09
  4. what're we going to do with you ? MOT · eng_USA_Brown/sarah076.cha, line 721 · Sarah 3;09
  5. you aren't very good with your chair either . MOT · eng_USA_Brown/sarah076.cha, line 890 · Sarah 3;09
  6. go # go with Cheerios . MOT · eng_USA_Brown/sarah076.cha, line 1134 · Sarah 3;09
  1. MOT(a)n(d) the day before .
    CHIuhuh .
    MOT*MOT: (a)n(d) if your not good Donna won't come over this afternoon (a)n(d) play with you either .
    CHII just goin(g) make a bubble .
    MOTyou're goin(g) to have a bubble .
  2. MOTthe entire weekend .
    MOTit would have to rain today .
    MOT*MOT: you'll end up with another one .
    MOTyou're askin(g) for it .
    CHIuhuh .
  3. CHIan x@l .
    MOTan x@l ?
    MOT*MOT: we haven't taken any time with you lately have we ?
    MOTshe's out of the house now all day .
    MOTshe gets up # goes to school # xxx goes out (a)n(d) plays # xxx home for supper (a)n(d) goes to bed .
  4. CHI0 .
    MOTxxx .
    MOT*MOT: what're we going to do with you ?
    CHII don't know .
    MOTI don't know either .
  5. MOTthat's the way you make a chair .
    MOTsit up right .
    MOT*MOT: you aren't very good with your chair either .
    CHIno .
    MOThow (a)bout that ?
  6. MOTone down # forty to go .
    CHIradio # go [/] # go .
    MOT*MOT: go # go with Cheerios .
    CHIgo [/] # go # with pop pops .
    CHIfinish # I xxx this .

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_Brown5.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah076.chaSarah 3;9.031,032665.81

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%