PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (679 utterances, 2,121 words searched).

  1. what're you doing ? MOT · eng_british_Manchester_I/anne11b.cha, line 673 · Anne 2;01
  2. what are you doing ? MOT · eng_british_Manchester_I/anne11b.cha, line 785 · Anne 2;01
  3. what's it doing on your head ? MOT · eng_british_Manchester_I/anne11b.cha, line 1264 · Anne 2;01
  4. what are you doing , Anne ? MOT · eng_british_Manchester_I/anne11b.cha, line 1383 · Anne 2;01
  5. what're you doing ? MOT · eng_british_Manchester_I/anne11b.cha, line 1385 · Anne 2;01
  6. what're you doing ? MOT · eng_british_Manchester_I/anne11b.cha, line 1454 · Anne 2;01
  7. what're you doing ? MOT · eng_british_Manchester_I/anne11b.cha, line 1456 · Anne 2;01
  8. what're you doing ? MOT · eng_british_Manchester_I/anne11b.cha, line 1458 · Anne 2;01
  9. we're doing it right anyway . MOT · eng_british_Manchester_I/anne11b.cha, line 1939 · Anne 2;01
  1. MOToh .
    MOToh .
    MOT*MOT: what're you doing ?
    CHIthrowing that away .
    MOTokay .
  2. MOTright .
    INVis that +/.
    MOT*MOT: what are you doing ?
    CHIjumping on you .
    MOTjumping on me ?
  3. CHIon my head .
    MOTon your head .
    MOT*MOT: what's it doing on your head ?
    CHIon my head .
    CHIon my head .
  4. INVwww .
    MOTwhat are you washing ?
    MOT*MOT: what are you doing , Anne ?
    MOTwhat're you doing ?
    CHIget out of the bath .
  5. MOTwhat are you washing ?
    MOTwhat are you doing , Anne ?
    MOT*MOT: what're you doing ?
    CHIget out of the bath .
    MOTget out of the bath .
  6. MOTokay .
    CHIxxx .
    MOT*MOT: what're you doing ?
    MOTwhat're you doing ?
    MOTwhat're you doing ?
  7. CHIxxx .
    MOTwhat're you doing ?
    MOT*MOT: what're you doing ?
    MOTwhat're you doing ?
    CHIwashing my toes .
  8. MOTwhat're you doing ?
    MOTwhat're you doing ?
    MOT*MOT: what're you doing ?
    CHIwashing my toes .
    MOTwash your toes .
  9. MOTI have put it on hard .
    MOTwhatever that is .
    MOT*MOT: we're doing it right anyway .
    MOTwhoops .
    MOTwhat's the matter ?

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. Anne eng_british_Manchester_I4.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne11b.chaAnne 2;1.202,121994.24

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. doing9 · 100.0%