PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. and then you can compare them and see which one's darker . MEL · eng_USA_Brown/sarah123.cha, line 192 · Sarah 4;09
  2. we've had them in the house . MOT · eng_USA_Brown/sarah123.cha, line 258 · Sarah 4;09
  3. how about just dripping them like this (be)cause they're gonna get all over the table . MEL · eng_USA_Brown/sarah123.cha, line 361 · Sarah 4;09
  4. she's apt to get them anywhere . MOT · eng_USA_Brown/sarah123.cha, line 391 · Sarah 4;09
  5. …ould be a great way to give children their first art lesson by having them mix colors . MEL · eng_USA_Brown/sarah123.cha, line 599 · Sarah 4;09
  6. well make+believe you're giving them . MOT · eng_USA_Brown/sarah123.cha, line 988 · Sarah 4;09
  1. MELI know .
    MELI'll give you three # two in this one # one in this one and three in this one .
    MEL*MEL: and then you can compare them and see which one's darker .
    MOTd(o) you want a spoon ?
    CHIyeah .
  2. MOTwhat ?
    CHIthat cookie .
    MOT*MOT: we've had them in the house .
    CHII don't know .
    MOTsure you do .
  3. CHInow # I # got ta put # some in here .
    CHIwhoop .
    MEL*MEL: how about just dripping them like this (be)cause they're gonna get all over the table .
    CHII don't like that .
    CHIstart all over .
  4. MOTit looks it # huh ?
    MELyeah # a funny place for a bruise .
    MOT*MOT: she's apt to get them anywhere .
    MOTnothin(g) would surprise me # not a thing .
    MOTwhat'd you do # your shoppin(g) ?
  5. MOTget your belly out of the way .
    MOTthere .
    MEL*MEL: it would be a great way to give children their first art lesson by having them mix colors .
    MELfind out what makes purple and things like that .
    MOTyeah .
  6. MOTwell make+believe .
    CHIwhere is the cups and saucers ?
    MOT*MOT: well make+believe you're giving them .
    MOTsomethin(g) in a glass .
    CHIoh yeah # cook it .

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_Brown4.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah123.chaSarah 4;9.041,268664.73

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. them6 · 100.0%