PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (592 utterances, 2,107 words searched).

  1. it's not six . MOT · eng_british_Manchester_II/joel03a.cha, line 634 · Joel 1;11
  2. not that we like it there but never mind . MOT · eng_british_Manchester_II/joel03a.cha, line 980 · Joel 1;11
  3. it's not as good as the cars that are at grandma grandpa's, is it ? MOT · eng_british_Manchester_II/joel03a.cha, line 992 · Joel 1;11
  4. you don't mind cuddles but you're not very big on kisses today, are you ? MOT · eng_british_Manchester_II/joel03a.cha, line 1099 · Joel 1;11
  5. it's not a train . MOT · eng_british_Manchester_II/joel03a.cha, line 1200 · Joel 1;11
  6. it's not an aeroplane either . MOT · eng_british_Manchester_II/joel03a.cha, line 1206 · Joel 1;11
  7. not interested, are you ? MOT · eng_british_Manchester_II/joel03a.cha, line 1918 · Joel 1;11
  1. CHIsix .
    MOTno .
    MOT*MOT: it's not six .
    MOTit's just a round circle so it's a +...
    MOTyou usually say oh, don't you ?
  2. MOTdid Aunty_Josie get you that ?
    MOTwe had to go to MacDonalds, didn't we ?
    MOT*MOT: not that we like it there but never mind .
    CHIJosie xxx car .
    INVwww .
  3. INVwww .
    CHIxxx .
    MOT*MOT: it's not as good as the cars that are at grandma grandpa's, is it ?
    MOT<who are they> [//] who are in the cars at grandma and grandpa's ?
    CHIgrandma car .
  4. MOTno .
    MOTI didn't think you would .
    MOT*MOT: you don't mind cuddles but you're not very big on kisses today, are you ?
    MOTgot one this morning and that was it .
    CHIxxx .
  5. CHIit train .
    MOTno .
    MOT*MOT: it's not a train .
    MOTwhat [/] what's that, look ?
    CHIaeroplane .
  6. MOTwhat [/] what's that, look ?
    CHIaeroplane .
    MOT*MOT: it's not an aeroplane either .
    MOTit's a helicopter .
    MOTwhat is it ?
  7. CHIxxx train xxx .
    MOTwhat did you do in the swimming pool ?
    MOT*MOT: not interested, are you ?
    MOTwww .
    MOTdo you want to open it ?

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. Joel eng_british_Manchester_II3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel03a.chaJoel 1;11.222,107773.32

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. not7 · 100.0%