PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (410 utterances, 1,418 words searched).

  1. Noddy 0is [*] always smiling . MOT · eng_british_Manchester_I/becky31a.cha, line 1183 · Becky 2;10
  2. Noddy what ? MOT · eng_british_Manchester_I/becky31a.cha, line 1318 · Becky 2;10
  3. Noddy Dodson ? MOT · eng_british_Manchester_I/becky31a.cha, line 1322 · Becky 2;10
  4. we're playing Noddy snap , aren't we ? MOT · eng_british_Manchester_I/becky31a.cha, line 1324 · Becky 2;10
  1. CHIhe's smiling .
    MOThe is .
    MOT*MOT: Noddy 0is [*] always smiling .
    CHIhe's [/] he's not +//.
    CHIhe doesn't get cross , does he ?
  2. CHIum Noddy .
    MOTyes .
    MOT*MOT: Noddy what ?
    CHINoddy Dodson .
    MOTNoddy Dodson ?
  3. MOTNoddy what ?
    CHINoddy Dodson .
    MOT*MOT: Noddy Dodson ?
    MOTwe're playing Noddy snap , aren't we ?
    CHIyeah .
  4. CHINoddy Dodson .
    MOTNoddy Dodson ?
    MOT*MOT: we're playing Noddy snap , aren't we ?
    CHIyeah .
    MOTand what happens in snap when you get two cards the same ?

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. Becky eng_british_Manchester_I2.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky31a.chaBecky 2;10.251,418442.82

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. noddy4 · 100.0%