PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

  1. that's orange . MOT · eng_USA_Brown/sarah045.cha, line 538 · Sarah 3;01
  2. (a)n(d) that's orange . MOT · eng_USA_Brown/sarah045.cha, line 546 · Sarah 3;01
  3. where's the orange one ? MOT · eng_USA_Brown/sarah045.cha, line 559 · Sarah 3;01
  4. that's orange . MOT · eng_USA_Brown/sarah045.cha, line 597 · Sarah 3;01
  5. that's yellow and that's orange . MOT · eng_USA_Brown/sarah045.cha, line 1048 · Sarah 3;01
  6. it's not an orange one . MOT · eng_USA_Brown/sarah045.cha, line 1369 · Sarah 3;01
  7. does that taste like orange ? MOT · eng_USA_Brown/sarah045.cha, line 1397 · Sarah 3;01
  1. eng_USA_Brown/sarah045.cha, line 538 · Sarah, 3;1.17
    MOTwhat color ?
    CHIblue .
    MOT*MOT: that's orange .
    CHIthat's orange too .
    MOTthis is red .
  2. eng_USA_Brown/sarah045.cha, line 546 · Sarah, 3;1.17
    MOTthis is red .
    CHIyeah # xxx .
    MOT*MOT: (a)n(d) that's orange .
    MOT(a)n(d) that's brown .
    MOTg(ive) me the red one .
  3. eng_USA_Brown/sarah045.cha, line 559 · Sarah, 3;1.17
    MOTwhere's the brown one ?
    MOTg(ive) me the brown one .
    MOT*MOT: where's the orange one ?
    CHIhere .
    MOTle(t) me see .
  4. eng_USA_Brown/sarah045.cha, line 597 · Sarah, 3;1.17
    MOTthat's red .
    CHIred .
    MOT*MOT: that's orange .
    CHIo(r)ange .
    MOTnow # gi(ve) me the blue one .
  5. eng_USA_Brown/sarah045.cha, line 1048 · Sarah, 3;1.17
    MOTthat's green # that's brown .
    CHIyeah .
    MOT*MOT: that's yellow and that's orange .
    CHIthe(re's) yellow .
    MOTwhere's a yellow ?
  6. eng_USA_Brown/sarah045.cha, line 1369 · Sarah, 3;1.17
    MOTwhat color ?
    CHIorange .
    MOT*MOT: it's not an orange one .
    CHIo:h xxx .
    MOTle(t) me see # you wan(t) me to get it ?
  7. eng_USA_Brown/sarah045.cha, line 1397 · Sarah, 3;1.17
    MOTI don't think you know them very good .
    MOThow's that taste ?
    MOT*MOT: does that taste like orange ?
    MOThuh ?
    MOTthat's lemon and lime .

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_Brown4.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.171,422774.92

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. orange7 · 100.0%