PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (452 utterances, 1,780 words searched).

  1. and do they get up to lots and lots of mischief ? MOT · eng_british_Manchester_II/nic33a.cha, line 101 · Nicole 3;00
  2. get a car and what ? MOT · eng_british_Manchester_II/nic33a.cha, line 122 · Nicole 3;00
  3. just get that one because it's coming off . MOT · eng_british_Manchester_II/nic33a.cha, line 303 · Nicole 3;00
  4. going to get [//] count your money again ? MOT · eng_british_Manchester_II/nic33a.cha, line 426 · Nicole 3;00
  5. we'll get it off in a bath tonight you mean . MOT · eng_british_Manchester_II/nic33a.cha, line 588 · Nicole 3;00
  6. how did you get glue down there ? MOT · eng_british_Manchester_II/nic33a.cha, line 593 · Nicole 3;00
  7. get the plug out then . MOT · eng_british_Manchester_II/nic33a.cha, line 1662 · Nicole 3;00
  1. CHIyeah .
    MOTmmhm .
    MOT*MOT: and do they get up to lots and lots of mischief ?
    CHIno .
    MOTthat's lots and lots of fun .
  2. CHIget in car .
    CHIand xxx .
    MOT*MOT: get a car and what ?
    CHIand come .
    CHIoh whoops .
  3. CHIthe noise that made .
    MOTmmhm .
    MOT*MOT: just get that one because it's coming off .
    CHIoh .
    CHINicole xxx .
  4. CHII got xxx .
    MOTmmhm .
    MOT*MOT: going to get [//] count your money again ?
    CHIyeah .
    CHIcount my money .
  5. CHIin [/] in a +//.
    CHIwe get it off in a bath tomorning@c .
    MOT*MOT: we'll get it off in a bath tonight you mean .
    MOTnow .
    MOThow did you get glue down there ?
  6. MOTwe'll get it off in a bath tonight you mean .
    MOTnow .
    MOT*MOT: how did you get glue down there ?
    MOTdid you wipe your legs with the glue brush ?
    CHIyeah .
  7. INVwww .
    MOTyeah .
    MOT*MOT: get the plug out then .
    CHIyou xxx .
    MOTxxx .

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_II3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic33a.chaNicole 3;0.031,780773.93

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. get7 · 100.0%