PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 1,268 words searched).

  1. … want you to use any more of the food coloring up (be)cause I need it for later # so +... MEL · eng_USA_Brown/sarah123.cha, line 152 · Sarah 4;09
  2. for next Easter # yeah . MEL · eng_USA_Brown/sarah123.cha, line 159 · Sarah 4;09
  3. I'll mop this up for you . MEL · eng_USA_Brown/sarah123.cha, line 295 · Sarah 4;09
  4. yeah # a funny place for a bruise . MEL · eng_USA_Brown/sarah123.cha, line 389 · Sarah 4;09
  5. not for me # thank+you . MEL · eng_USA_Brown/sarah123.cha, line 858 · Sarah 4;09
  1. eng_USA_Brown/sarah123.cha, line 152 · Sarah, 4;9.04
    CHIcan I play with it some more ?
    MOToh sure # have a party .
    MEL*MEL: well # why don't you play with what's here but I don't want you to use any more of the food coloring up (be)cause I need it for later # so +...
    CHIfor Easter ?
    MELfor next Easter # yeah .
  2. eng_USA_Brown/sarah123.cha, line 159 · Sarah, 4;9.04
    MELwell # why don't you play with what's here but I don't want you to use any more of the food coloring up (be)cause I need it for later # so +...
    CHIfor Easter ?
    MEL*MEL: for next Easter # yeah .
    CHIwell # gi(ve) me some more (a)n(d) that's all ?
    CHIjust uh put one there (a)n(d) put one there (a)n(d) put one there .
  3. eng_USA_Brown/sarah123.cha, line 295 · Sarah, 4;9.04
    CHII put a little tiny +...
    CHInow one for that one .
    MEL*MEL: I'll mop this up for you .
    MOTwhat ?
    MELI'll mop it all up as soon as +/.
  4. eng_USA_Brown/sarah123.cha, line 389 · Sarah, 4;9.04
    CHIhohohohoho@b .
    MOTit looks it # huh ?
    MEL*MEL: yeah # a funny place for a bruise .
    MOTshe's apt to get them anywhere .
    MOTnothin(g) would surprise me # not a thing .
  5. eng_USA_Brown/sarah123.cha, line 858 · Sarah, 4;9.04
    MOTd(o) you want a cup of tea ?
    CHII'm stup(id) .
    MEL*MEL: not for me # thank+you .
    MOTno ?
    MOTd(o) you want a cup ?

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_Brown3.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah123.chaSarah 4;9.041,268553.94

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.

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