PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.16 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,264 words searched).

  1. what's making that noise # Sarah ? COU · eng_USA_Brown/sarah009.cha, line 372 · Sarah 2;04
  2. oh # Sarah . MOT · eng_USA_Brown/sarah009.cha, line 831 · Sarah 2;04
  3. oh # Sarah . MOT · eng_USA_Brown/sarah009.cha, line 837 · Sarah 2;04
  4. who gave that to you # Sarah ? COU · eng_USA_Brown/sarah009.cha, line 1181 · Sarah 2;04
  1. eng_USA_Brown/sarah009.cha, line 372 · Sarah, 2;4.17
    CHIa yyy .
    MOTyes # you're going to have your banana in a minute .
    COU*COU: what's making that noise # Sarah ?
    CHIa xxx .
    CHIxxx .
  2. eng_USA_Brown/sarah009.cha, line 831 · Sarah, 2;4.17
    MOTyou drink your juice first and then you eat that # you got milk in there .
    MOTxxx .
    MOT*MOT: oh # Sarah .
    MOTwhy can't you have nice curls .
    MOThmm ?
  3. eng_USA_Brown/sarah009.cha, line 837 · Sarah, 2;4.17
    MOTwhy can't you have nice curls .
    MOThmm ?
    MOT*MOT: oh # Sarah .
    MOTwhy can't you have nice curls .
    MOThmm ?
  4. eng_USA_Brown/sarah009.cha, line 1181 · Sarah, 2;4.17
    MOTdon't stick it down in your mouth .
    MOTbe nice .
    COU*COU: who gave that to you # Sarah ?
    CHINana .
    GLOwho ?

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_Brown3.16
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah009.chaSarah 2;4.171,264443.16

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. sarah4 · 100.0%