PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (487 utterances, 1,665 words searched).

  1. so what's this rabbit's name then . MOT · eng_british_Manchester_I/becky24a.cha, line 49 · Becky 2;08
  2. so we can catch . MOT · eng_british_Manchester_I/becky24a.cha, line 240 · Becky 2;08
  3. she's going to bring them in ever so soon . MOT · eng_british_Manchester_I/becky24a.cha, line 884 · Becky 2;08
  4. so you feel better now ? MOT · eng_british_Manchester_I/becky24a.cha, line 924 · Becky 2;08
  5. so what's my name ? MOT · eng_british_Manchester_I/becky24a.cha, line 1553 · Becky 2;08
  1. MOToh .
    MOTxxx .
    MOT*MOT: so what's this rabbit's name then .
    CHIhim sitting down .
    MOTis he ?
  2. CHIoh dear .
    MOTput your hands together .
    MOT*MOT: so we can catch .
    MOTxxx .
    MOTput them down here .
  3. CHIwhere's Caroline +...
    CHICaroline toys .
    MOT*MOT: she's going to bring them in ever so soon .
    MOToh .
    MOTokay ?
  4. MOTyou've eaten it , have you ?
    CHIyeah .
    MOT*MOT: so you feel better now ?
    CHIyeah .
    MOTwhy don't you show Caroline the daffodils that you made for me .
  5. MOTwhat do you want to write ?
    CHII wanna write your name .
    MOT*MOT: so what's my name ?
    CHIJudith_Dodson .
    MOTwhat do you want to write ?

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_I3.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky24a.chaBecky 2;8.021,665553.00

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. so5 · 100.0%