PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (534 utterances, 1,869 words searched).

  1. think I'm going to make some little cakes . MOT · eng_british_Manchester_II/nic13a.cha, line 548 · Nicole 2;04
  2. I'm going to make some little [/] little buns for Christmas . MOT · eng_british_Manchester_II/nic13a.cha, line 555 · Nicole 2;04
  3. do you want to roll some out ? MOT · eng_british_Manchester_II/nic13a.cha, line 627 · Nicole 2;04
  4. shall I roll some more out then you can put the teddy+bear on , can't you ? MOT · eng_british_Manchester_II/nic13a.cha, line 762 · Nicole 2;04
  5. here's some different shapes . MOT · eng_british_Manchester_II/nic13a.cha, line 886 · Nicole 2;04
  6. they're some different shapes , aren't they ? MOT · eng_british_Manchester_II/nic13a.cha, line 994 · Nicole 2;04
  7. now we want some hair , don't we ? MOT · eng_british_Manchester_II/nic13a.cha, line 1208 · Nicole 2;04
  1. MOTxxx .
    CHIxxx .
    MOT*MOT: think I'm going to make some little cakes .
    MOTwe've got one .
    MOTgot a cake one somewhere .
  2. MOTwe've got one .
    MOTgot a cake one somewhere .
    MOT*MOT: I'm going to make some little [/] little buns for Christmas .
    CHIlook .
    INVwww .
  3. CHIMummy .
    CHII [/] I roll .
    MOT*MOT: do you want to roll some out ?
    CHIyeah .
    MOTare you tired ?
  4. MOTyou want to get the teddy+bear on , do you ?
    CHImmhm .
    MOT*MOT: shall I roll some more out then you can put the teddy+bear on , can't you ?
    CHIyuck .
    CHIoh .
  5. MOTthere .
    CHIthat ?
    MOT*MOT: here's some different shapes .
    MOTthese are .
    MOTyes .
  6. CHIthat .
    CHIthat .
    MOT*MOT: they're some different shapes , aren't they ?
    CHIthat diamond .
    MOTthat's a diamond .
  7. CHIright .
    MOTthere .
    MOT*MOT: now we want some hair , don't we ?
    MOTwhy do you always want the bits I'm using .
    MOTthere .

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_II3.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic13a.chaNicole 2;4.291,869773.75

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. some7 · 100.0%