PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (477 utterances, 1,943 words searched).

  1. snowman's body . MOT · eng_british_Manchester_II/john03a.cha, line 43 · John 2;00
  2. body . MOT · eng_british_Manchester_II/john03a.cha, line 106 · John 2;00
  3. big body here . MOT · eng_british_Manchester_II/john03a.cha, line 108 · John 2;00
  4. a body ? MOT · eng_british_Manchester_II/john03a.cha, line 712 · John 2;00
  5. white body okay ? MOT · eng_british_Manchester_II/john03a.cha, line 716 · John 2;00
  6. okay white body . MOT · eng_british_Manchester_II/john03a.cha, line 720 · John 2;00
  7. head body and +... MOT · eng_british_Manchester_II/john03a.cha, line 748 · John 2;00
  1. eng_british_Manchester_II/john03a.cha, line 43 · John, 2;0.13
    MOTwith a big what's this ?
    CHIsnowman .
    MOT*MOT: snowman's body .
    MOTand a head .
    MOThead .
  2. eng_british_Manchester_II/john03a.cha, line 106 · John, 2;0.13
    MOTthere we are .
    CHIbody .
    MOT*MOT: body .
    MOTbig body here .
    CHII get there [?] .
  3. eng_british_Manchester_II/john03a.cha, line 108 · John, 2;0.13
    CHIbody .
    MOTbody .
    MOT*MOT: big body here .
    CHII get there [?] .
    CHIbyebye body .
  4. eng_british_Manchester_II/john03a.cha, line 712 · John, 2;0.13
    MOTwhat's next then ?
    CHIdo the body .
    MOT*MOT: a body ?
    MOTright okay .
    MOTwhite body okay ?
  5. eng_british_Manchester_II/john03a.cha, line 716 · John, 2;0.13
    MOTa body ?
    MOTright okay .
    MOT*MOT: white body okay ?
    CHIwhite body .
    MOTokay white body .
  6. eng_british_Manchester_II/john03a.cha, line 720 · John, 2;0.13
    MOTwhite body okay ?
    CHIwhite body .
    MOT*MOT: okay white body .
    MOTwhat shall I draw next ?
    MOTwhat comes next ?
  7. eng_british_Manchester_II/john03a.cha, line 748 · John, 2;0.13
    MOTwhat else shall I draw ?
    CHIbody .
    MOT*MOT: head body and +...
    MOTlook , shall I draw one of these ?
    MOTwhat's this called ?

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_II3.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john03a.chaJohn 2;0.131,943773.60

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. body7 · 100.0%