PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

2.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (627 utterances, 2,437 words searched).

  1. it's a Poor_Peter , isn't it ? MOT · eng_british_Manchester_II/ruth32a.cha, line 846 · Ruth 2;10
  2. it can either be a Dippy_duck or a Poor_Peter . MOT · eng_british_Manchester_II/ruth32a.cha, line 848 · Ruth 2;10
  3. why is Poor_Peter called Poor_Peter ? MOT · eng_british_Manchester_II/ruth32a.cha, line 853 · Ruth 2;10
  4. why is Poor_Peter called Poor_Peter ? MOT · eng_british_Manchester_II/ruth32a.cha, line 853 · Ruth 2;10
  5. there's another Poor_Peter . MOT · eng_british_Manchester_II/ruth32a.cha, line 860 · Ruth 2;10
  6. that is my Poor_Peter . MOT · eng_british_Manchester_II/ruth32a.cha, line 864 · Ruth 2;10
  7. another Poor_Peter . MOT · eng_british_Manchester_II/ruth32a.cha, line 876 · Ruth 2;10
  1. MOTno .
    MOTit's not a Bouncing_Ben .
    MOT*MOT: it's a Poor_Peter , isn't it ?
    MOTit can either be a Dippy_duck or a Poor_Peter .
    CHIa Poor_Peter .
  2. MOTit's not a Bouncing_Ben .
    MOTit's a Poor_Peter , isn't it ?
    MOT*MOT: it can either be a Dippy_duck or a Poor_Peter .
    CHIa Poor_Peter .
    MOTwhy is Poor_Peter called Poor_Peter ?
  3. MOTit can either be a Dippy_duck or a Poor_Peter .
    CHIa Poor_Peter .
    MOT*MOT: why is Poor_Peter called Poor_Peter ?
    CHIbecause like being Poor_Peter .
    CHIthere 0is [*] another Poor_Peter .
  4. CHIbecause like being Poor_Peter .
    CHIthere 0is [*] another Poor_Peter .
    MOT*MOT: there's another Poor_Peter .
    MOTexcuse me .
    MOTthat is my Poor_Peter .
  5. MOTthere's another Poor_Peter .
    MOTexcuse me .
    MOT*MOT: that is my Poor_Peter .
    CHIonly picking it up .
    MOTwell it doesn't matter .
  6. MOTthere you go .
    MOTthere .
    MOT*MOT: another Poor_Peter .
    CHIoh dear me .
    CHIxxx .

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. Ruth eng_british_Manchester_II2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth32a.chaRuth 2;10.232,437672.87

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. poor_peter7 · 100.0%