PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,250 words searched).

  1. you've got your goats , Becky somewhere . MOT · eng_british_Manchester_I/becky27b.cha, line 47 · Becky 2;09
  2. where are your goats ? MOT · eng_british_Manchester_I/becky27b.cha, line 50 · Becky 2;09
  3. we've got your baby pigs . MOT · eng_british_Manchester_I/becky27b.cha, line 359 · Becky 2;09
  4. we've got your pretend dog though , haven't we ? MOT · eng_british_Manchester_I/becky27b.cha, line 577 · Becky 2;09
  5. what's your doggie's name ? MOT · eng_british_Manchester_I/becky27b.cha, line 590 · Becky 2;09
  6. have you got all your shopping done now ? MOT · eng_british_Manchester_I/becky27b.cha, line 1031 · Becky 2;09
  7. don't put your face in there , Becky . MOT · eng_british_Manchester_I/becky27b.cha, line 1442 · Becky 2;09
  1. INVI'm sorry .
    INVbut <I did> [/] I did find it .
    MOT*MOT: you've got your goats , Becky somewhere .
    MOTwhere are your goats ?
    CHIhere .
  2. INVbut <I did> [/] I did find it .
    MOTyou've got your goats , Becky somewhere .
    MOT*MOT: where are your goats ?
    CHIhere .
    CHIoh no .
  3. INVwe saw the farmer .
    MOTI expect they'll turn up .
    MOT*MOT: we've got your baby pigs .
    MOTyou could always use those , couldn't you ?
    CHIyeah .
  4. CHIyou have dogs .
    CHIhere ?
    MOT*MOT: we've got your pretend dog though , haven't we ?
    CHIyeah .
    MOTwhat's his name ?
  5. MOTyes .
    MOTyou do .
    MOT*MOT: what's your doggie's name ?
    CHIDusty .
    MOTDusty .
  6. CHIand this +/.
    MOToh .
    MOT*MOT: have you got all your shopping done now ?
    CHIxxx .
    CHIand something to eat .
  7. MOToh .
    MOTwell .
    MOT*MOT: don't put your face in there , Becky .
    CHIwhy ?
    CHIhas he done a poo there ?

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_I5.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky27b.chaBecky 2;9.061,250775.60

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. your7 · 100.0%