PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (643 utterances, 2,351 words searched).

  1. hello . INV · eng_british_Manchester_II/ruth19a.cha, line 144 · Ruth 2;05
  2. hello baby tiger . MOT · eng_british_Manchester_II/ruth19a.cha, line 1368 · Ruth 2;05
  3. you say hello Mummy tiger . MOT · eng_british_Manchester_II/ruth19a.cha, line 1370 · Ruth 2;05
  4. oh hello Missis [//] Miss_Murphy . MOT · eng_british_Manchester_II/ruth19a.cha, line 1609 · Ruth 2;05
  5. hello . MOT · eng_british_Manchester_II/ruth19a.cha, line 1611 · Ruth 2;05
  6. say hello . MOT · eng_british_Manchester_II/ruth19a.cha, line 1613 · Ruth 2;05
  7. hello . MOT · eng_british_Manchester_II/ruth19a.cha, line 1615 · Ruth 2;05
  8. hello doctor . MOT · eng_british_Manchester_II/ruth19a.cha, line 1792 · Ruth 2;05
  9. hello doctor . MOT · eng_british_Manchester_II/ruth19a.cha, line 1794 · Ruth 2;05
  1. MOTwhat would you like to play with ?
    MOTAnna .
    INV*INV: hello .
    INVwhich toys are you gonna [: going to] play with today ?
    INVhmm ?
  2. MOTMummy tiger .
    CHIhuh ?
    MOT*MOT: hello baby tiger .
    MOTyou say hello Mummy tiger .
    CHIhiya .
  3. CHIhuh ?
    MOThello baby tiger .
    MOT*MOT: you say hello Mummy tiger .
    CHIhiya .
    CHIMama tiger get me .
  4. MOTI say come in .
    MOTI'm the doctor .
    MOT*MOT: oh hello Missis [//] Miss_Murphy .
    MOThello .
    MOTsay hello .
  5. MOTI'm the doctor .
    MOToh hello Missis [//] Miss_Murphy .
    MOT*MOT: hello .
    MOTsay hello .
    MOThello .
  6. MOToh hello Missis [//] Miss_Murphy .
    MOThello .
    MOT*MOT: say hello .
    MOThello .
    CHIhello doctor .
  7. MOThello .
    MOTsay hello .
    MOT*MOT: hello .
    CHIhello doctor .
    MOTis there a problem here ?
  8. CHIcome in , Mama .
    MOTcome in .
    MOT*MOT: hello doctor .
    MOThello doctor .
    CHIproblem here .
  9. MOTcome in .
    MOThello doctor .
    MOT*MOT: hello doctor .
    CHIproblem here .
    MOTright .

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_II3.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth19a.chaRuth 2;5.202,351993.83

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. hello9 · 100.0%