PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

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

  1. right . MOT · eng_british_Manchester_II/nic01b.cha, line 23 · Nicole 2;00
  2. right . MOT · eng_british_Manchester_II/nic01b.cha, line 108 · Nicole 2;00
  3. that's right . MOT · eng_british_Manchester_II/nic01b.cha, line 410 · Nicole 2;00
  4. right . MOT · eng_british_Manchester_II/nic01b.cha, line 471 · Nicole 2;00
  5. that's right . MOT · eng_british_Manchester_II/nic01b.cha, line 597 · Nicole 2;00
  6. oh right . MOT · eng_british_Manchester_II/nic01b.cha, line 887 · Nicole 2;00
  7. that's right . MOT · eng_british_Manchester_II/nic01b.cha, line 947 · Nicole 2;00
  8. put her arm the right way round . MOT · eng_british_Manchester_II/nic01b.cha, line 1130 · Nicole 2;00
  9. right . MOT · eng_british_Manchester_II/nic01b.cha, line 1136 · Nicole 2;00
  10. right . MOT · eng_british_Manchester_II/nic01b.cha, line 1158 · Nicole 2;00
  11. that's right . MOT · eng_british_Manchester_II/nic01b.cha, line 1290 · Nicole 2;00
  12. that's right . MOT · eng_british_Manchester_II/nic01b.cha, line 1515 · Nicole 2;00
  13. right . MOT · eng_british_Manchester_II/nic01b.cha, line 1756 · Nicole 2;00
  1. CHIyeah .
    CHIyeah .
    MOT*MOT: right .
    MOTlet's just +//.
    MOTmove those out the way then so we've got some room .
  2. MOTnow why is this Duplo more interesting than the Duplo you've got ?
    MOTeh ?
    MOT*MOT: right .
    MOTwhat shall we build ?
    MOTwhat's this ?
  3. CHIbaby tiger .
    MOTbaby tiger .
    MOT*MOT: that's right .
    CHIbaby tiger .
    MOTxxx sat on the wall like that .
  4. MOTdo you like taking it apart ?
    CHIyeah .
    MOT*MOT: right .
    MOTnow what're you going to do with an empty board ?
    CHIyeah .
  5. MOTticky ticky you say , don't you ?
    CHI&a there .
    MOT*MOT: that's right .
    MOTand you've got a yellow green yellow , haven't you ?
    MOTcan you say &ye +//.
  6. MOTyou don't like lettuce , do you ?
    INVthere's a beef+burger in there with all cheese and pickle and [/] and +...
    MOT*MOT: oh right .
    INVsomewhere .
    INVxxx beef+burger , look .
  7. CHIegg .
    MOTegg .
    MOT*MOT: that's right .
    MOThow many are there ?
    CHItwo three four five .
  8. MOTwe don't have to undo the buttons .
    MOTslip it off her shoulder .
    MOT*MOT: put her arm the right way round .
    MOTslip it off the shoulder .
    MOTslip it off her feet .
  9. MOTslip it off the shoulder .
    MOTslip it off her feet .
    MOT*MOT: right .
    MOTare you going to +//?
    MOToh .
  10. MOTyour dolly hasn't got her knickers on , has she ?
    CHIxxx .
    MOT*MOT: right .
    MOTput the dress over her head , look .
    CHIxxx .
  11. MOTcan you say hair ?
    CHIhair .
    MOT*MOT: that's right .
    CHINicole .
    MOTNicole .
  12. CHIa hat .
    MOTa hat .
    MOT*MOT: that's right .
    CHIxxx .
    MOTa baby .
  13. MOTnot cuddle .
    MOThmm ?
    MOT*MOT: right .
    MOTare you going to pass me those grapes please .
    MOTnear Caroline's foot ?

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_II6.16
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01b.chaNicole 2;0.252,10913136.16

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. right13 · 100.0%