PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (349 utterances, 1,514 words searched).

  1. that's not a biscuit , is it ? MOT · eng_british_Manchester_I/becky24b.cha, line 53 · Becky 2;08
  2. you're not dipping in my tea . MOT · eng_british_Manchester_I/becky24b.cha, line 76 · Becky 2;08
  3. you're not dipping it in here , Becky . MOT · eng_british_Manchester_I/becky24b.cha, line 108 · Becky 2;08
  4. you're not to dip it in there ? MOT · eng_british_Manchester_I/becky24b.cha, line 125 · Becky 2;08
  5. not that basket . MOT · eng_british_Manchester_I/becky24b.cha, line 953 · Becky 2;08
  6. that's not a lion . MOT · eng_british_Manchester_I/becky24b.cha, line 1228 · Becky 2;08
  7. it's not a lion , Becky . MOT · eng_british_Manchester_I/becky24b.cha, line 1234 · Becky 2;08
  1. CHIit's a biscuit .
    MOTwell .
    MOT*MOT: that's not a biscuit , is it ?
    MOTit's a sandwich .
    MOTyou don't dip in my tea anyway .
  2. CHII found a biscuit .
    MOTno .
    MOT*MOT: you're not dipping in my tea .
    CHIwhy ?
    MOTyou don't dip in my tea .
  3. MOToh alright .
    MOTwell .
    MOT*MOT: you're not dipping it in here , Becky .
    CHII want another one .
    CHIum .
  4. CHIit's Caroline's tea .
    MOTno .
    MOT*MOT: you're not to dip it in there ?
    MOTgo on .
    MOTyou can dip it in here , Becky but you know I don't like dipping in tea .
  5. MOTthere's some storys underneath it .
    MOTno .
    MOT*MOT: not that basket .
    MOTthe basket that's in the toy+box .
    CHIthis basket ?
  6. CHIis that another monkey ?
    CHIthat's a lion .
    MOT*MOT: that's not a lion .
    MOTthat's a doggie .
    MOTit's a doggie .
  7. MOTthat's a doggie .
    MOTit's a doggie .
    MOT*MOT: it's not a lion , Becky .
    MOTlions aren't black , are they ?
    CHIyes [/] yes .

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_I4.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky24b.chaBecky 2;8.021,514774.62

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. not7 · 100.0%