PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,470 words searched).

  1. there's your clothes dolly . MOT · eng_british_Manchester_II/liz09b.cha, line 43 · Liz 2;02
  2. mind your toes . MOT · eng_british_Manchester_II/liz09b.cha, line 446 · Liz 2;02
  3. that was a big drop down onto your bum . MOT · eng_british_Manchester_II/liz09b.cha, line 573 · Liz 2;02
  4. put your other wheels in . MOT · eng_british_Manchester_II/liz09b.cha, line 745 · Liz 2;02
  5. put your wheels in . MOT · eng_british_Manchester_II/liz09b.cha, line 747 · Liz 2;02
  6. she chewed your jigsaw ? INV · eng_british_Manchester_II/liz09b.cha, line 834 · Liz 2;02
  7. yeah you finished your milk , didn't you ? MOT · eng_british_Manchester_II/liz09b.cha, line 962 · Liz 2;02
  8. no leave your knickers on sweetheart . MOT · eng_british_Manchester_II/liz09b.cha, line 1411 · Liz 2;02
  1. CHIdolly .
    CHIthere's clothes dolly .
    MOT*MOT: there's your clothes dolly .
    MOTyou have a sleep while we have a play .
    MOTare you all right there ?
  2. MOTright okay .
    CHILiz put these in the box .
    MOT*MOT: mind your toes .
    MOTthey hurt if you stand on them , don't they ?
    MOTare you putting all those away ?
  3. MOTput this big long one +/.
    MOToh .
    MOT*MOT: that was a big drop down onto your bum .
    CHIyeah .
    MOTyeah .
  4. CHIyeah .
    MOTgo on .
    MOT*MOT: put your other wheels in .
    MOTput your wheels in .
    MOTthat's it .
  5. MOTgo on .
    MOTput your other wheels in .
    MOT*MOT: put your wheels in .
    MOTthat's it .
    MOTthat's smashing that .
  6. INVwhat's Spot chewed ?
    CHIjigsaw .
    INV*INV: she chewed your jigsaw ?
    INVthat's naughty , isn't it ?
    CHIta .
  7. INVmmhm .
    CHILiz finish .
    MOT*MOT: yeah you finished your milk , didn't you ?
    CHIyeah .
    MOTyeah .
  8. MOTthere you are .
    CHIknickers off .
    MOT*MOT: no leave your knickers on sweetheart .
    CHIknickers off .
    MOTall right .

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. Liz eng_british_Manchester_II5.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz09b.chaLiz 2;2.021,470885.44

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. your8 · 100.0%