PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (539 utterances, 2,106 words searched).

  1. what's she having ? MOT · eng_british_Manchester_I/anne12a.cha, line 1325 · Anne 2;01
  2. what's she having to eat . MOT · eng_british_Manchester_I/anne12a.cha, line 1345 · Anne 2;01
  3. you're having a snooze ,, are you ? MOT · eng_british_Manchester_I/anne12a.cha, line 1595 · Anne 2;01
  4. you're always having snoozes , Anne_Russell . MOT · eng_british_Manchester_I/anne12a.cha, line 1598 · Anne 2;01
  5. oh you're just having a snooze . MOT · eng_british_Manchester_I/anne12a.cha, line 1734 · Anne 2;01
  6. just having a snooze . MOT · eng_british_Manchester_I/anne12a.cha, line 1740 · Anne 2;01
  7. you're just having a snooze . MOT · eng_british_Manchester_I/anne12a.cha, line 1887 · Anne 2;01
  1. MOThmm ?
    MOToh you've found her breakfast .
    MOT*MOT: what's she having ?
    CHIlast one .
    MOTlast one .
  2. MOTnever mind .
    CHIlast one .
    MOT*MOT: what's she having to eat .
    CHIxxx .
    MOThmm ?
  3. MOTpardon ?
    CHIwant snooze .
    MOT*MOT: you're having a snooze ,, are you ?
    MOTyou're always having snoozes , Anne_Russell .
    CHIoh get xxx .
  4. CHIwant snooze .
    MOTyou're having a snooze ,, are you ?
    MOT*MOT: you're always having snoozes , Anne_Russell .
    CHIoh get xxx .
    CHIshoes off .
  5. MOTyou're not going to sleep ?
    CHII snoozing .
    MOT*MOT: oh you're just having a snooze .
    MOTI should have known .
    MOTnot really going to sleep .
  6. MOTI should have known .
    MOTnot really going to sleep .
    MOT*MOT: just having a snooze .
    CHIxxx .
    MOTbaby's crying , Anne .
  7. MOTjust a snooze .
    MOTyou're not going to sleep .
    MOT*MOT: you're just having a snooze .
    MOThaven't you just had a snooze in the car ?
    CHIno .

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_I3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne12a.chaAnne 2;1.222,106773.32

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. having7 · 100.0%