PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (384 utterances, 1,290 words searched).

  1. pardon ? MOT · eng_british_Manchester_I/becky21a.cha, line 259 · Becky 2;07
  2. pardon ? MOT · eng_british_Manchester_I/becky21a.cha, line 825 · Becky 2;07
  3. pardon ? MOT · eng_british_Manchester_I/becky21a.cha, line 940 · Becky 2;07
  4. pardon ? MOT · eng_british_Manchester_I/becky21a.cha, line 1144 · Becky 2;07
  5. pardon ? MOT · eng_british_Manchester_I/becky21a.cha, line 1455 · Becky 2;07
  6. pardon ? MOT · eng_british_Manchester_I/becky21a.cha, line 1494 · Becky 2;07
  1. MOTyes .
    CHIand do you have um yellow ears .
    MOT*MOT: pardon ?
    CHIdo you have +...
    CHIhave you got yellow ears ?
  2. CHInot you as well .
    INVyeah .
    MOT*MOT: pardon ?
    CHIxxx .
    CHIhas he got a xxx .
  3. CHIhe's got a happy face .
    CHIwhat [/] <what's he> [//] what does he have ?
    MOT*MOT: pardon ?
    CHIis that a baby goat , Mum ?
    MOTa baby goat ?
  4. CHIis this +...
    CHIxxx .
    MOT*MOT: pardon ?
    CHIsee !
    CHIxxx .
  5. CHIthere .
    CHInot I have that .
    MOT*MOT: pardon ?
    CHIhaving +...
    MOTwhat about the horses man ?
  6. CHIand that .
    CHIhave you got a necklace ?
    MOT*MOT: pardon ?
    CHIhave you got a xxx necklace xxx .
    MOThave I got what ?

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_I4.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky21a.chaBecky 2;7.021,290664.65

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. pardon6 · 100.0%