PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (543 utterances, 1,873 words searched).

  1. what about the nurse ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1014 · Ruth 2;03
  2. who's the nurse ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1016 · Ruth 2;03
  3. you're the nurse too ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1020 · Ruth 2;03
  4. nurse and doctor . MOT · eng_british_Manchester_II/ruth12a.cha, line 1024 · Ruth 2;03
  5. are you the nurse ? MOT · eng_british_Manchester_II/ruth12a.cha, line 1172 · Ruth 2;03
  1. CHIme .
    MOTyou're the doctor .
    MOT*MOT: what about the nurse ?
    MOTwho's the nurse ?
    CHIme .
  2. MOTyou're the doctor .
    MOTwhat about the nurse ?
    MOT*MOT: who's the nurse ?
    CHIme .
    MOTyou're the nurse too ?
  3. MOTwho's the nurse ?
    CHIme .
    MOT*MOT: you're the nurse too ?
    CHImmhm .
    MOTnurse and doctor .
  4. MOTyou're the nurse too ?
    CHImmhm .
    MOT*MOT: nurse and doctor .
    CHImmhm .
    MOTthat's very clever .
  5. MOTare you the doctor ?
    CHIno .
    MOT*MOT: are you the nurse ?
    CHImmhm .
    CHIMama eye sore .

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_II2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth12a.chaRuth 2;3.061,873552.67

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. nurse5 · 100.0%