PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (255 utterances, 1,054 words searched).

  1. that's the way . MEL · eng_USA_Brown/sarah120.cha, line 303 · Sarah 4;08
  2. that's a good place . MEL · eng_USA_Brown/sarah120.cha, line 313 · Sarah 4;08
  3. that's the nurses ? MEL · eng_USA_Brown/sarah120.cha, line 391 · Sarah 4;08
  4. see that's in here . MOT · eng_USA_Brown/sarah120.cha, line 727 · Sarah 4;08
  5. that's not what you called it the other day . MOT · eng_USA_Brown/sarah120.cha, line 801 · Sarah 4;08
  6. don't you think that's a good idea ? MOT · eng_USA_Brown/sarah120.cha, line 1197 · Sarah 4;08
  7. I think that's a very good idea . MOT · eng_USA_Brown/sarah120.cha, line 1202 · Sarah 4;08
  1. GAIhow is your teacher's wrist # Sarah ?
    CHIfine .
    MEL*MEL: that's the way .
    MELnow you're going good .
    MELbetter find where you put it first .
  2. CHIxxx here ?
    CHIput it right here ?
    MEL*MEL: that's a good place .
    CHIa@l is for rabbit ?
    MOTno # but it could be part of his name .
  3. MELhuh ?
    CHIthe nurses # I said .
    MEL*MEL: that's the nurses ?
    CHIuhhuh # on tv .
    MELdo you watch Doctor Kildare ?
  4. CHIhey .
    GAIwhat's this ?
    MOT*MOT: see that's in here .
    MOTnope .
    MELdo you know what it is ?
  5. FATSarah # what do you call this ?
    CHIa forehead .
    MOT*MOT: that's not what you called it the other day .
    MELwhat did she call it ?
    MOThow did she say that ?
  6. MOThuh ?
    CHIno .
    MOT*MOT: don't you think that's a good idea ?
    CHInope .
    MOTI think that's a very good idea .
  7. MOTdon't you think that's a good idea ?
    CHInope .
    MOT*MOT: I think that's a very good idea .
    MOTin case you do something bad (a)n(d) I don't know about it # see ?
    GAIwhat does fresh mean # Sarah ?

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_Brown6.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah120.chaSarah 4;8.071,054776.64

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. that's7 · 100.0%