PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (588 utterances, 2,109 words searched).

  1. move those out the way then so we've got some room . MOT · eng_british_Manchester_II/nic01b.cha, line 27 · Nicole 2;00
  2. I think so . INV · eng_british_Manchester_II/nic01b.cha, line 319 · Nicole 2;00
  3. xxx you're not bothered about your beef+burger , are you , Nicole so +... MOT · eng_british_Manchester_II/nic01b.cha, line 964 · Nicole 2;00
  4. because she liked your [/] your dolly so much we went and got her one , didn't we the same . MOT · eng_british_Manchester_II/nic01b.cha, line 1085 · Nicole 2;00
  5. so +... MOT · eng_british_Manchester_II/nic01b.cha, line 1120 · Nicole 2;00
  6. it's so dreadful , isn't it when you want to do something . MOT · eng_british_Manchester_II/nic01b.cha, line 1235 · Nicole 2;00
  1. MOTright .
    MOTlet's just +//.
    MOT*MOT: move those out the way then so we've got some room .
    MOTwhat's in this box ?
    MOTwhat is it ?
  2. MOTI think we'll stick with elephant .
    INVyes .
    INV*INV: I think so .
    INVxxx school .
    CHIthere .
  3. MOTtomato .
    CHIyeah .
    MOT*MOT: xxx you're not bothered about your beef+burger , are you , Nicole so +...
    MOTnever had one .
    MOTwhat you've never had you've never missed .
  4. MOTwww .
    MOTwe bought that one for Megan , didn't we for her birthday .
    MOT*MOT: because she liked your [/] your dolly so much we went and got her one , didn't we the same .
    MOTwww .
    CHIxxx .
  5. MOTand put the dress on the dolly ?
    CHIyeah .
    MOT*MOT: so +...
    MOTdo we undo the buttons ?
    MOTno .
  6. MOToh dear .
    MOToh dear .
    MOT*MOT: it's so dreadful , isn't it when you want to do something .
    MOTthere we are .
    MOTwhat's she got on now ?

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_II2.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01b.chaNicole 2;0.252,109662.84

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. so6 · 100.0%