PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (413 utterances, 1,524 words searched).

  1. shall we draw a moon as well together this time ? MOT · eng_british_Manchester_II/john01a.cha, line 304 · John 1;11
  2. that's funny , isn't it seeing the moon at the same time as the sun . MOT · eng_british_Manchester_II/john01a.cha, line 313 · John 1;11
  3. if you want this as a house , John we have to put the chalks away first . MOT · eng_british_Manchester_II/john01a.cha, line 1285 · John 1;11
  4. along came Mister_Crocodile as mean as mean can be . MOT · eng_british_Manchester_II/john01a.cha, line 1355 · John 1;11
  5. along came Mister_Crocodile as mean as mean can be . MOT · eng_british_Manchester_II/john01a.cha, line 1355 · John 1;11
  6. you do it as well . MOT · eng_british_Manchester_II/john01a.cha, line 1479 · John 1;11
  1. eng_british_Manchester_II/john01a.cha, line 304 · John, 1;11.15
    CHIdraw sun .
    MOTthere .
    MOT*MOT: shall we draw a moon as well together this time ?
    CHImoon there .
    MOTyeah .
  2. eng_british_Manchester_II/john01a.cha, line 313 · John, 1;11.15
    MOTyeah .
    CHIthe moon .
    MOT*MOT: that's funny , isn't it seeing the moon at the same time as the sun .
    CHIbyebye moon .
    CHIbyebye moon .
  3. eng_british_Manchester_II/john01a.cha, line 1285 · John, 1;11.15
    CHIman .
    CHIMummy .
    MOT*MOT: if you want this as a house , John we have to put the chalks away first .
    MOTokay because we have to take the tray off .
    MOTwe have to put all these chalks in the box .
  4. eng_british_Manchester_II/john01a.cha, line 1355 · John, 1;11.15
    MOTthe door goes shut .
    MOTbang .
    MOT*MOT: along came Mister_Crocodile as mean as mean can be .
    MOTsnap Mister_Crocodile .
    MOToh dear me .
  5. eng_british_Manchester_II/john01a.cha, line 1479 · John, 1;11.15
    CHIme .
    MOTcome on then .
    MOT*MOT: you do it as well .
    MOTyou put the chalks in the box .
    MOThave you had enough of drawing ?

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. John eng_british_Manchester_II3.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john01a.chaJohn 1;11.151,524563.94

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. as6 · 100.0%