PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 1,999 words searched).

  1. well . MOT · eng_british_Manchester_II/nic22b.cha, line 520 · Nicole 2;07
  2. well . MOT · eng_british_Manchester_II/nic22b.cha, line 939 · Nicole 2;07
  3. and you've drawn on that dolly's face as well . MOT · eng_british_Manchester_II/nic22b.cha, line 1005 · Nicole 2;07
  4. and Inga's blonde as well . MOT · eng_british_Manchester_II/nic22b.cha, line 1127 · Nicole 2;07
  5. well . MOT · eng_british_Manchester_II/nic22b.cha, line 1188 · Nicole 2;07
  6. well . MOT · eng_british_Manchester_II/nic22b.cha, line 1374 · Nicole 2;07
  7. well . MOT · eng_british_Manchester_II/nic22b.cha, line 1643 · Nicole 2;07
  1. MOTyou're making a silly noise .
    CHIxxx .
    MOT*MOT: well .
    MOTif you're going to dance do [//] dance just here then .
    MOTwhere we can see you .
  2. MOT<we haven't> [//] we didn't see them for ages , have we ?
    MOTlast time we saw +//.
    MOT*MOT: well .
    MOTthere wasn't one .
    MOTthere was two , wasn't there ?
  3. MOTyou tell me why you've drawn on the dolly's face .
    CHIbecause do that .
    MOT*MOT: and you've drawn on that dolly's face as well .
    CHIand the nose .
    CHInose .
  4. MOTyou've got yellow hair , haven't you ?
    MOTblonde hair .
    MOT*MOT: and Inga's blonde as well .
    MOTand Morag's got brown hair like Mummy .
    CHIand Nicole 0has [*] got brown hair .
  5. CHIMummy do it .
    CHIclip^clop@o .
    MOT*MOT: well .
    MOTget up on my knee then .
    CHIhere .
  6. MOTI thought you wanted a cuddle .
    CHItwo three .
    MOT*MOT: well .
    MOTthat's not cuddling , is it ?
    CHIxxx .
  7. MOTyou should've eaten your lunch then , shouldn't you ?
    CHINicole hungry .
    MOT*MOT: well .
    MOTyou can have something in a minute .
    MOTdo you want some malt+loaf ?

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_II3.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic22b.chaNicole 2;7.121,999773.50

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. well7 · 100.0%