PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (580 utterances, 2,260 words searched).

  1. what are you doing ? MOT · eng_british_Manchester_I/anne07b.cha, line 843 · Anne 2;00
  2. what's that baby doing ? MOT · eng_british_Manchester_I/anne07b.cha, line 859 · Anne 2;00
  3. she looked like she was doing Ring_a_ring_of_roses . MOT · eng_british_Manchester_I/anne07b.cha, line 863 · Anne 2;00
  4. what are you doing with that ? MOT · eng_british_Manchester_I/anne07b.cha, line 1226 · Anne 2;00
  5. now what're you doing ? MOT · eng_british_Manchester_I/anne07b.cha, line 1739 · Anne 2;00
  6. what do you think you're doing ? MOT · eng_british_Manchester_I/anne07b.cha, line 1745 · Anne 2;00
  7. what do you think you're doing ? MOT · eng_british_Manchester_I/anne07b.cha, line 1747 · Anne 2;00
  1. MOTyou're ready to go then .
    MOTwhere are you going this time ?
    MOT*MOT: what are you doing ?
    CHIteddy+bear sit there .
    MOTteddy+bear there .
  2. CHIlots babys .
    MOTlots of babys ,, aren't there ?
    MOT*MOT: what's that baby doing ?
    MOTis she dancing ?
    MOTshe looked like she was doing Ring_a_ring_of_roses .
  3. MOTwhat's that baby doing ?
    MOTis she dancing ?
    MOT*MOT: she looked like she was doing Ring_a_ring_of_roses .
    MOToh .
    MOTtip them all out .
  4. MOTmake it stop please .
    MOTwww .
    MOT*MOT: what are you doing with that ?
    MOTthat used to be Anne's bottle ,, didn't it ?
    MOTis that why you're having a suck on it ?
  5. MOTfall down .
    MOToh .
    MOT*MOT: now what're you doing ?
    CHIxxx .
    MOTpardon ?
  6. CHIxxx .
    MOTpardon ?
    MOT*MOT: what do you think you're doing ?
    MOTwhat do you think you're doing ?
    CHIwee+wee going myself .
  7. MOTpardon ?
    MOTwhat do you think you're doing ?
    MOT*MOT: what do you think you're doing ?
    CHIwee+wee going myself .
    MOTyou're going for another wee+wee ?

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_I3.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne07b.chaAnne 2;0.152,260773.10

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. doing7 · 100.0%