PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (337 utterances, 1,289 words searched).

  1. pardon ? INV · eng_british_Manchester_I/becky14b.cha, line 423 · Becky 2;04
  2. pardon ? MOT · eng_british_Manchester_I/becky14b.cha, line 475 · Becky 2;04
  3. pardon ? MOT · eng_british_Manchester_I/becky14b.cha, line 752 · Becky 2;04
  4. pardon ? MOT · eng_british_Manchester_I/becky14b.cha, line 1512 · Becky 2;04
  1. eng_british_Manchester_I/becky14b.cha, line 423 · Becky, 2;4.28
    MOTyou're very quick , aren't you ?
    CHIyou hears ?
    INV*INV: pardon ?
    CHIdo you ?
    MOTno .
  2. eng_british_Manchester_I/becky14b.cha, line 475 · Becky, 2;4.28
    CHIhe's got it xxx there .
    CHIget this off .
    MOT*MOT: pardon ?
    CHIjust get it off there .
    MOTget it off ?
  3. eng_british_Manchester_I/becky14b.cha, line 752 · Becky, 2;4.28
    MOTwww .
    CHIthere's cows .
    MOT*MOT: pardon ?
    CHIthis one cows in .
    MOTsome cows in there , are there ?
  4. eng_british_Manchester_I/becky14b.cha, line 1512 · Becky, 2;4.28
    MOTwww .
    CHI<is that> [/] is that lid .
    MOT*MOT: pardon ?
    MOTis that a lid ?
    INVit's here .

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_I3.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14b.chaBecky 2;4.281,289443.10

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. pardon4 · 100.0%