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. looks like it's gonna be a good storm . MEL · eng_USA_Brown/sarah120.cha, line 294 · Sarah 4;08
  2. now you're going good . MEL · eng_USA_Brown/sarah120.cha, line 305 · Sarah 4;08
  3. that's a good place . MEL · eng_USA_Brown/sarah120.cha, line 313 · Sarah 4;08
  4. taste good ? MEL · eng_USA_Brown/sarah120.cha, line 572 · Sarah 4;08
  5. you didn't cut it very good # did ya ? MOT · eng_USA_Brown/sarah120.cha, line 974 · 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. MOTis it rainin(g) out ?
    MELyeah # a little .
    MEL*MEL: looks like it's gonna be a good storm .
    GAIhow is your teacher's wrist # Sarah ?
    CHIfine .
  2. CHIfine .
    MELthat's the way .
    MEL*MEL: now you're going good .
    MELbetter find where you put it first .
    CHIxxx here ?
  3. 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 .
  4. GAIwhat do you color ?
    CHIum +...
    MEL*MEL: taste good ?
    CHIno # I have to do that .
    MOTdo this side .
  5. MOTlook what you're doing .
    CHII know .
    MOT*MOT: you didn't cut it very good # did ya ?
    CHIuhuh .
    CHII don't know how to cut .
  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. good7 · 100.0%