PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

15.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 848 words searched).

  1. see these are paints . MOT · eng_british_Manchester_II/nic14b.cha, line 18 · Nicole 2;05
  2. are we going to do this picture first ? MOT · eng_british_Manchester_II/nic14b.cha, line 57 · Nicole 2;05
  3. what color are we doing ? MOT · eng_british_Manchester_II/nic14b.cha, line 103 · Nicole 2;05
  4. are you going to dip your brush in that orange ? MOT · eng_british_Manchester_II/nic14b.cha, line 288 · Nicole 2;05
  5. how many rabbits are there ? MOT · eng_british_Manchester_II/nic14b.cha, line 801 · Nicole 2;05
  6. how many boots are there ? MOT · eng_british_Manchester_II/nic14b.cha, line 816 · Nicole 2;05
  7. how many boots are there ? MOT · eng_british_Manchester_II/nic14b.cha, line 820 · Nicole 2;05
  8. how many boots are there ? MOT · eng_british_Manchester_II/nic14b.cha, line 828 · Nicole 2;05
  9. how many boots are there ? MOT · eng_british_Manchester_II/nic14b.cha, line 838 · Nicole 2;05
  10. now how many teddy+bears are there ? MOT · eng_british_Manchester_II/nic14b.cha, line 850 · Nicole 2;05
  11. haw many bags are there ? MOT · eng_british_Manchester_II/nic14b.cha, line 893 · Nicole 2;05
  12. are you going to count the bags , look ? MOT · eng_british_Manchester_II/nic14b.cha, line 899 · Nicole 2;05
  13. what are you going to draw ? MOT · eng_british_Manchester_II/nic14b.cha, line 911 · Nicole 2;05
  1. eng_british_Manchester_II/nic14b.cha, line 18 · Nicole, 2;5.05
    MOTput it on the bench where you can xxx .
    MOT*MOT: see these are paints .
    MOTand they're different from crayons .
    MOTunderstand .
  2. eng_british_Manchester_II/nic14b.cha, line 57 · Nicole, 2;5.05
    MOTthat's right .
    MOTthen you have to choose a color .
    MOT*MOT: are we going to do this picture first ?
    CHIyeah .
    MOTlet Mummy show you what you do .
  3. eng_british_Manchester_II/nic14b.cha, line 103 · Nicole, 2;5.05
    MOTyou keep putting your paintbrush in the water .
    MOTinstead of in the paint [//] pot of paint .
    MOT*MOT: what color are we doing ?
    MOTwhat color is it ?
    CHIyellow .
  4. eng_british_Manchester_II/nic14b.cha, line 288 · Nicole, 2;5.05
    CHIcolor in .
    CHIxxx .
    MOT*MOT: are you going to dip your brush in that orange ?
    CHIyeah .
    CHIxxx .
  5. eng_british_Manchester_II/nic14b.cha, line 801 · Nicole, 2;5.05
    MOThow many in each row ?
    CHIone .
    MOT*MOT: how many rabbits are there ?
    CHIone .
    MOTright .
  6. eng_british_Manchester_II/nic14b.cha, line 816 · Nicole, 2;5.05
    MOTcan you see it ?
    MOTone .
    MOT*MOT: how many boots are there ?
    MOTgood girl .
    MOThow many boots are there ?
  7. eng_british_Manchester_II/nic14b.cha, line 820 · Nicole, 2;5.05
    MOThow many boots are there ?
    MOTgood girl .
    MOT*MOT: how many boots are there ?
    CHIone .
    MOTno .
  8. eng_british_Manchester_II/nic14b.cha, line 828 · Nicole, 2;5.05
    MOTno .
    MOTcount them .
    MOT*MOT: how many boots are there ?
    CHIone two .
    MOTno .
  9. eng_british_Manchester_II/nic14b.cha, line 838 · Nicole, 2;5.05
    MOTlook .
    MOTdon't just do it willy+nilly .
    MOT*MOT: how many boots are there ?
    CHIone two three .
    MOTxxx .
  10. eng_british_Manchester_II/nic14b.cha, line 850 · Nicole, 2;5.05
    MOTput it on .
    MOTgood girl .
    MOT*MOT: now how many teddy+bears are there ?
    CHIone xxx .
    MOTno .
  11. eng_british_Manchester_II/nic14b.cha, line 893 · Nicole, 2;5.05
    MOTxxx .
    MOTnow .
    MOT*MOT: haw many bags are there ?
    CHIxxx .
    MOTxxx .
  12. eng_british_Manchester_II/nic14b.cha, line 899 · Nicole, 2;5.05
    CHIxxx .
    MOTxxx .
    MOT*MOT: are you going to count the bags , look ?
    MOThow many .
    CHIxxx .
  13. eng_british_Manchester_II/nic14b.cha, line 911 · Nicole, 2;5.05
    MOTcome on then .
    MOTyou go indoors .
    MOT*MOT: what are you going to draw ?
    CHIxxx .
    MOTwhat ?

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_II15.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic14b.chaNicole 2;5.05848131315.33

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. are13 · 100.0%