PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (549 utterances, 2,076 words searched).

  1. the cat . MOT · eng_british_Manchester_II/ruth25a.cha, line 1213 · Ruth 2;07
  2. what was the cat's name ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1215 · Ruth 2;07
  3. what was the cat's name ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1221 · Ruth 2;07
  4. do you remember the cat's name ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1225 · Ruth 2;07
  5. <was he> [/] was he a nice cat ? MOT · eng_british_Manchester_II/ruth25a.cha, line 1233 · Ruth 2;07
  6. he wasn't a very nice cat . MOT · eng_british_Manchester_II/ruth25a.cha, line 1239 · Ruth 2;07
  7. Polly likes your cat . MOT · eng_british_Manchester_II/ruth25a.cha, line 1749 · Ruth 2;07
  8. your little cat . MOT · eng_british_Manchester_II/ruth25a.cha, line 1755 · Ruth 2;07
  9. the little white cat in the basket . MOT · eng_british_Manchester_II/ruth25a.cha, line 1757 · Ruth 2;07
  1. MOTwho chased the mouse ?
    CHIcat .
    MOT*MOT: the cat .
    MOTwhat was the cat's name ?
    MOTdo you remember ?
  2. CHIcat .
    MOTthe cat .
    MOT*MOT: what was the cat's name ?
    MOTdo you remember ?
    CHIwhat ?
  3. MOTdo you remember ?
    CHIwhat ?
    MOT*MOT: what was the cat's name ?
    CHIwhat ?
    MOTdo you remember the cat's name ?
  4. MOTwhat was the cat's name ?
    CHIwhat ?
    MOT*MOT: do you remember the cat's name ?
    CHIyeah .
    MOTit was called Lucifer .
  5. MOTit was called Lucifer .
    CHIwhat ?
    MOT*MOT: <was he> [/] was he a nice cat ?
    CHIno .
    MOThe wasn't at all , no .
  6. CHIno .
    MOThe wasn't at all , no .
    MOT*MOT: he wasn't a very nice cat .
    CHIno .
    MOTwhat're you doing now ?
  7. CHIwhy ?
    MOT<you know what> [/] you know what Polly likes .
    MOT*MOT: Polly likes your cat .
    CHIyeah .
    MOTmmhm .
  8. CHIyeah .
    MOTmmhm .
    MOT*MOT: your little cat .
    MOTthe little white cat in the basket .
    CHIyeah .
  9. MOTmmhm .
    MOTyour little cat .
    MOT*MOT: the little white cat in the basket .
    CHIyeah .
    MOTshe quite likes that you know .

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_II4.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth25a.chaRuth 2;7.242,076994.34

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. cat9 · 100.0%