PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,717 words searched).

  1. what are you making ? MEL · eng_USA_Brown/sarah122.cha, line 219 · Sarah 4;08
  2. no # I'm making # I'm making the one other thing I know . MEL · eng_USA_Brown/sarah122.cha, line 1068 · Sarah 4;08
  3. no # I'm making # I'm making the one other thing I know . MEL · eng_USA_Brown/sarah122.cha, line 1068 · Sarah 4;08
  4. Melissa's making you something # again . MOT · eng_USA_Brown/sarah122.cha, line 1117 · Sarah 4;08
  1. eng_USA_Brown/sarah122.cha, line 219 · Sarah, 4;8.20
    MELI thought that Gail was the one that used the sugar .
    CHI0 .
    MEL*MEL: what are you making ?
    CHIsomethin(g) # good out o(f) this paper .
    CHI(a)n(d) you don't know # but I know .
  2. eng_USA_Brown/sarah122.cha, line 1068 · Sarah, 4;8.20
    GAIoh .
    MOTxxx one of those again ?
    MEL*MEL: no # I'm making # I'm making the one other thing I know .
    CHIcan # can he say # +"/.
    CHI+" want ?
  3. eng_USA_Brown/sarah122.cha, line 1117 · Sarah, 4;8.20
    MELhe'll hear better if you leave him alone # you know .
    MOTGail # look it .
    MOT*MOT: Melissa's making you something # again .
    MELthis is a different thing than before .
    CHIoh # no .

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_Brown2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah122.chaSarah 4;8.201,717342.33

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. making4 · 100.0%