PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (531 utterances, 2,054 words searched).

  1. like that , look . MOT · eng_british_Manchester_II/nic07a.cha, line 43 · Nicole 2;02
  2. look . MOT · eng_british_Manchester_II/nic07a.cha, line 341 · Nicole 2;02
  3. look . MOT · eng_british_Manchester_II/nic07a.cha, line 343 · Nicole 2;02
  4. look behind you . MOT · eng_british_Manchester_II/nic07a.cha, line 479 · Nicole 2;02
  5. …ou're not putting your> [//] you want to put your thumb a bit lower , look . MOT · eng_british_Manchester_II/nic07a.cha, line 894 · Nicole 2;02
  6. xxx , look . MOT · eng_british_Manchester_II/nic07a.cha, line 947 · Nicole 2;02
  7. can we look at this one ? MOT · eng_british_Manchester_II/nic07a.cha, line 1780 · Nicole 2;02
  8. are we going to look at this book and read it together ? MOT · eng_british_Manchester_II/nic07a.cha, line 1854 · Nicole 2;02
  1. MOTare you going to draw a picture ?
    MOTwhy don't you draw your toys ?
    MOT*MOT: like that , look .
    MOTare you going to sit down and draw your toys ?
    MOTdraw Coco and Pooh ?
  2. MOTyou do it the other way .
    MOTif you let it dangle +...
    MOT*MOT: look .
    MOTlook .
    MOTI'll show you .
  3. MOTif you let it dangle +...
    MOTlook .
    MOT*MOT: look .
    MOTI'll show you .
    MOTif you let it dangle down .
  4. MOToh .
    MOTthere's one behind you .
    MOT*MOT: look behind you .
    MOTyou've forgotten one .
    MOTthat's it .
  5. MOTjump .
    MOTjump .
    MOT*MOT: <you're not putting your> [//] you want to put your thumb a bit lower , look .
    MOTone two three .
    MOTare you holding it down ?
  6. MOTwhat's that ?
    MOTxxx .
    MOT*MOT: xxx , look .
    MOThis hat .
    MOTyou've already put the hat in the box .
  7. MOTwhich one are you looking for ?
    CHIxxx .
    MOT*MOT: can we look at this one ?
    MOTwe haven't looked at that one for ages , have we ?
    CHIno .
  8. CHIxxx .
    INVthank you .
    MOT*MOT: are we going to look at this book and read it together ?
    CHIand that .
    INVthank you .

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. Nicole eng_british_Manchester_II3.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07a.chaNicole 2;2.272,054883.89

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. look8 · 100.0%