PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. no . MEL · eng_USA_Brown/sarah120.cha, line 221 · Sarah 4;08
  2. no # but it could be part of his name . MOT · eng_USA_Brown/sarah120.cha, line 317 · Sarah 4;08
  3. no # n@l is for nurse . MEL · eng_USA_Brown/sarah120.cha, line 334 · Sarah 4;08
  4. no . MEL · eng_USA_Brown/sarah120.cha, line 777 · Sarah 4;08
  1. eng_USA_Brown/sarah120.cha, line 221 · Sarah, 4;8.07
    CHIis that +...
    CHI# am I goin(g) out the line ?
    MEL*MEL: no .
    CHInow how is it goin(g) out ?
    CHIoh it's comin(g) off .
  2. eng_USA_Brown/sarah120.cha, line 317 · Sarah, 4;8.07
    MELthat's a good place .
    CHIa@l is for rabbit ?
    MOT*MOT: no # but it could be part of his name .
    CHIis it ?
    MELyou could call him Arthur and then it would be his name .
  3. eng_USA_Brown/sarah120.cha, line 334 · Sarah, 4;8.07
    CHIhow (a)bout l@l ?
    CHInurse is for l@l # huh ?
    MEL*MEL: no # n@l is for nurse .
    CHIn@l ?
    CHIwhere's n@l ?
  4. eng_USA_Brown/sarah120.cha, line 777 · Sarah, 4;8.07
    CHIdis is goin(g) be kwawu@b .
    CHIkwawu@b starts with a s@l does it ?
    MEL*MEL: no .
    CHIwhat ?
    FATsilent s@l .

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_Brown3.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah120.chaSarah 4;8.071,054443.80

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. no4 · 100.0%