PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. um # let's see . MEL · eng_USA_Brown/sarah120.cha, line 342 · Sarah 4;08
  2. I don't see one . MEL · eng_USA_Brown/sarah120.cha, line 344 · Sarah 4;08
  3. see that's in here . MOT · eng_USA_Brown/sarah120.cha, line 727 · Sarah 4;08
  4. see ? MOT · eng_USA_Brown/sarah120.cha, line 1136 · Sarah 4;08
  5. in case you do something bad (a)n(d) I don't know about it # see ? MOT · eng_USA_Brown/sarah120.cha, line 1204 · Sarah 4;08
  1. CHIwhere's n@l ?
    CHIis n@l here [//] # in here ?
    MEL*MEL: um # let's see .
    MELI don't see one .
    CHII don't +...
  2. CHIis n@l here [//] # in here ?
    MELum # let's see .
    MEL*MEL: I don't see one .
    CHII don't +...
    CHIonly I see r@l .
  3. CHIhey .
    GAIwhat's this ?
    MOT*MOT: see that's in here .
    MOTnope .
    MELdo you know what it is ?
  4. MOTyou're right on the ball .
    CHIuhhuh .
    MOT*MOT: see ?
    CHIwhat ?
    MOTwhat about the middle part ?
  5. CHInope .
    MOTI think that's a very good idea .
    MOT*MOT: in case you do something bad (a)n(d) I don't know about it # see ?
    GAIwhat does fresh mean # Sarah ?
    CHII don't know .

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_Brown4.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah120.chaSarah 4;8.071,054554.74

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. see5 · 100.0%