PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,087 words searched).

  1. shall we see what animals are in Anna's zoo ? MOT · eng_british_Manchester_II/liz22b.cha, line 80 · Liz 2;06
  2. and how many of those did we see ? MOT · eng_british_Manchester_II/liz22b.cha, line 105 · Liz 2;06
  3. she has an udder you see under there . MOT · eng_british_Manchester_II/liz22b.cha, line 134 · Liz 2;06
  4. we didn't see any of those , did we ? MOT · eng_british_Manchester_II/liz22b.cha, line 201 · Liz 2;06
  5. oh: did we see any of those ? MOT · eng_british_Manchester_II/liz22b.cha, line 219 · Liz 2;06
  6. see you in a bit . MOT · eng_british_Manchester_II/liz22b.cha, line 301 · Liz 2;06
  7. shall I tip them out so we can see what we've got ? MOT · eng_british_Manchester_II/liz22b.cha, line 516 · Liz 2;06
  1. MOTwhat darling ?
    MOTwhat are you saying ?
    MOT*MOT: shall we see what animals are in Anna's zoo ?
    MOTbecause we saw some animals at the zoo , didn't we ?
    CHII [/] I 0have [*] been to the zoo .
  2. MOTwe saw two tigers .
    MOToh .
    MOT*MOT: and how many of those did we see ?
    CHIelephants .
    MOTyeah .
  3. MOTyeah .
    MOTthis is a girl cow .
    MOT*MOT: she has an udder you see under there .
    MOTthat's where she gives her babys milk from .
    CHIwhat's that ?
  4. MOTI don't think Anna's got any leopards .
    MOTwe saw leopards , didn't we ?
    MOT*MOT: we didn't see any of those , did we ?
    MOTbecause they don't have them any more .
    CHIno we don't .
  5. MOTthey're not .
    MOTthere's loads of those in Africa .
    MOT*MOT: oh: did we see any of those ?
    CHIyeah .
    MOTyeah we did , didn't we ?
  6. MOTbye then .
    CHIbye .
    MOT*MOT: see you in a bit .
    CHIsee you in a bit .
    CHIbye .
  7. CHIshall we build these Anna's bricks now ?
    MOTyeah if you want .
    MOT*MOT: shall I tip them out so we can see what we've got ?
    MOTthere we go .
    MOTgot plenty there .

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_II6.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz22b.chaLiz 2;6.121,087776.44

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. see7 · 100.0%