PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (232 utterances, 1,019 words searched).

  1. we've already made this decision , Nicole . MOT · eng_british_Manchester_II/nic31b.cha, line 295 · Nicole 2;11
  2. you've already had a [//] some banana today , haven't you ? MOT · eng_british_Manchester_II/nic31b.cha, line 648 · Nicole 2;11
  1. eng_british_Manchester_II/nic31b.cha, line 295 · Nicole, 2;11.11
    MOTyeah .
    MOTyou are as well , aren't you ?
    MOT*MOT: we've already made this decision , Nicole .
    CHIxxx Molly's .
    MOTwhat's Molly's ?
  2. eng_british_Manchester_II/nic31b.cha, line 648 · Nicole, 2;11.11
    MOTno .
    MOTdon't do that .
    MOT*MOT: you've already had a [//] some banana today , haven't you ?
    CHINicole want it now .
    MOTno .

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. Nicole eng_british_Manchester_II1.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic31b.chaNicole 2;11.111,019221.96

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. already2 · 100.0%