PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 985 words searched).

  1. what're you going to make with them ? MOT · eng_british_Manchester_I/becky22a.cha, line 191 · Becky 2;07
  2. what're you doing ? MOT · eng_british_Manchester_I/becky22a.cha, line 1110 · Becky 2;07
  3. what're you doing ? MOT · eng_british_Manchester_I/becky22a.cha, line 1228 · Becky 2;07
  1. eng_british_Manchester_I/becky22a.cha, line 191 · Becky, 2;7.09
    CHIwhat [/] what can we make now ?
    CHIwhat can we make next ?
    MOT*MOT: what're you going to make with them ?
    CHII'm going +...
    CHIthis .
  2. eng_british_Manchester_I/becky22a.cha, line 1110 · Becky, 2;7.09
    CHIyeah .
    CHIcock_a_doodle_doo@o .
    MOT*MOT: what're you doing ?
    CHII'm trying to get this .
    MOTpick them up and <put them> [//] pop them in .
  3. eng_british_Manchester_I/becky22a.cha, line 1228 · Becky, 2;7.09
    MOTwould [/] would you like me to do it for you , Becky ?
    CHIand let me +...
    MOT*MOT: what're you doing ?
    CHIxxx .
    MOTyou're going to get your finger trapped .

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_I3.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky22a.chaBecky 2;7.09985333.05

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. what're3 · 100.0%