PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (195 utterances, 780 words searched).

  1. <well # we'll put the paper> [//] let's see . MEL · eng_USA_Brown/sarah126.cha, line 84 · Sarah 4;09
  2. wait we'll put this one there . MEL · eng_USA_Brown/sarah126.cha, line 106 · Sarah 4;09
  3. we'll play it back <after you> [//] after we finish . MEL · eng_USA_Brown/sarah126.cha, line 691 · Sarah 4;09
  1. eng_USA_Brown/sarah126.cha, line 84 · Sarah, 4;9.26
    MELlet's see .
    CHIdose are my Mother's pictures .
    MEL*MEL: <well # we'll put the paper> [//] let's see .
    CHI0 .
    MELxxx .
  2. eng_USA_Brown/sarah126.cha, line 106 · Sarah, 4;9.26
    CHIget my Mother's pictures .
    MELthis is just so you'll have something flat to draw on over here # so we can see you .
    MEL*MEL: wait we'll put this one there .
    MEL<put that> [//] pick # yeah .
    CHIwhat cha make like dis ?
  3. eng_USA_Brown/sarah126.cha, line 691 · Sarah, 4;9.26
    MELI'm not gonna hear your voice ?
    CHIno # <I don't> [//] I wanna hear my voice .
    MEL*MEL: we'll play it back <after you> [//] after we finish .
    CHIhe fall down an(d) she fall down .
    MOTwhat's that ?

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_Brown3.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah126.chaSarah 4;9.26780333.85

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. we'll3 · 100.0%