PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (427 utterances, 1,651 words searched).

  1. who else have we got ? MOT · eng_british_Manchester_I/becky12b.cha, line 79 · Becky 2;03
  2. shall we see the new food that's in there ? MOT · eng_british_Manchester_I/becky12b.cha, line 234 · Becky 2;03
  3. shall we have a look ? MOT · eng_british_Manchester_I/becky12b.cha, line 273 · Becky 2;03
  4. is that what we buy for Sukie ? MOT · eng_british_Manchester_I/becky12b.cha, line 351 · Becky 2;03
  5. shall we push some through ? MOT · eng_british_Manchester_I/becky12b.cha, line 570 · Becky 2;03
  6. shall we put froggie back to bed now then ? MOT · eng_british_Manchester_I/becky12b.cha, line 772 · Becky 2;03
  7. what [//] shall we tip these out and then you can go shopping and put some things in the… MOT · eng_british_Manchester_I/becky12b.cha, line 798 · Becky 2;03
  1. MOTright .
    MOTnow then .
    MOT*MOT: who else have we got ?
    MOTwho's this , Becky ?
    CHIit's doggie .
  2. MOTdo you want to do some shopping now ?
    MOTbecause there's some new food in there apparently .
    MOT*MOT: shall we see the new food that's in there ?
    CHIyeah .
    CHIa cheese .
  3. MOTwhat do you think's in here ?
    CHIxxx .
    MOT*MOT: shall we have a look ?
    MOToh .
    MOTthere they are .
  4. CHIcat+food .
    MOTcat+food .
    MOT*MOT: is that what we buy for Sukie ?
    CHIyes .
    MOTlooks like it , doesn't it ?
  5. MOTyeah .
    MOTsupposed to be through there , isn't it ?
    MOT*MOT: shall we push some through ?
    CHIoh .
    CHIwhat 0have [*] you done ?
  6. CHIit's mine .
    CHIit's mine .
    MOT*MOT: shall we put froggie back to bed now then ?
    CHIxxx .
    CHII want to +...
  7. CHIwhat is it ?
    MOTtell you what , Becky .
    MOT*MOT: what [//] shall we tip these out and then you can go shopping and put some things in the basket ?
    CHIyeah .
    MOTdo you want to do that ?

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. Becky eng_british_Manchester_I4.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12b.chaBecky 2;3.271,651774.24

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. we7 · 100.0%