PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,514 words searched).

  1. what are those three men doing ? MOT · eng_british_Manchester_II/warr13b.cha, line 613 · Warren 2;02
  2. what are they doing ? MOT · eng_british_Manchester_II/warr13b.cha, line 615 · Warren 2;02
  3. or what're you doing ? MOT · eng_british_Manchester_II/warr13b.cha, line 838 · Warren 2;02
  4. especially not on your head if that's what you were thinking of doing . MOT · eng_british_Manchester_II/warr13b.cha, line 902 · Warren 2;02
  1. MOTif you're now trying to get the penguin on I think you're stymied .
    CHIxxx .
    MOT*MOT: what are those three men doing ?
    MOTwhat are they doing ?
    MOTare they singing ?
  2. CHIxxx .
    MOTwhat are those three men doing ?
    MOT*MOT: what are they doing ?
    MOTare they singing ?
    MOTor are they making chocolate cakes ?
  3. CHIremember ?
    MOTwhat're you looking at ?
    MOT*MOT: or what're you doing ?
    MOTWarren .
    MOTI have a suspicion about that silence child .
  4. CHI<a big> [/] a big bash .
    MOTdon't bash it .
    MOT*MOT: especially not on your head if that's what you were thinking of doing .
    MOTno .
    MOTif you want to break it up break it up on the floor .

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. Warren eng_british_Manchester_II2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13b.chaWarren 2;2.121,514442.64

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. doing4 · 100.0%