PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,144 words searched).

  1. a sausage yes . INV · eng_british_Manchester_II/john18b.cha, line 105 · John 2;05
  2. I would like some sausage . MOT · eng_british_Manchester_II/john18b.cha, line 929 · John 2;05
  3. I've got a sausage but no bread roll . MOT · eng_british_Manchester_II/john18b.cha, line 1115 · John 2;05
  1. eng_british_Manchester_II/john18b.cha, line 105 · John, 2;5.06
    CHIlook .
    CHIa sausage .
    INV*INV: a sausage yes .
    CHIa sausage .
    MOTis that for me or for you ?
  2. eng_british_Manchester_II/john18b.cha, line 929 · John, 2;5.06
    CHIlike some sausage ?
    MOTum yes .
    MOT*MOT: I would like some sausage .
    MOTthank you .
    CHIlike some [/] like some eggs ?
  3. eng_british_Manchester_II/john18b.cha, line 1115 · John, 2;5.06
    CHIgot sausage .
    MOTyes .
    MOT*MOT: I've got a sausage but no bread roll .
    MOTthank you .
    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. John eng_british_Manchester_II2.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john18b.chaJohn 2;5.061,144332.62

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. sausage3 · 100.0%