PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 1,835 words searched).

  1. do you wanna do some painting or some reading ? MOT · eng_british_Manchester_II/ruth15a.cha, line 25 · Ruth 2;04
  2. you wanna do this ? MOT · eng_british_Manchester_II/ruth15a.cha, line 70 · Ruth 2;04
  3. you wanna do some of this too ? MOT · eng_british_Manchester_II/ruth15a.cha, line 72 · Ruth 2;04
  4. do you wanna do another one ? MOT · eng_british_Manchester_II/ruth15a.cha, line 691 · Ruth 2;04
  5. do you wanna put some red apples in then ? MOT · eng_british_Manchester_II/ruth15a.cha, line 889 · Ruth 2;04
  6. you wanna do those now . MOT · eng_british_Manchester_II/ruth15a.cha, line 950 · Ruth 2;04
  1. eng_british_Manchester_II/ruth15a.cha, line 25 · Ruth, 2;4.08
    MOTvery excited .
    MOTnow what do you want to do first ?
    MOT*MOT: do you wanna do some painting or some reading ?
    CHIno .
    MOTwhat ?
  2. eng_british_Manchester_II/ruth15a.cha, line 70 · Ruth, 2;4.08
    MOTyou can do some of this as well , can we ?
    CHIno .
    MOT*MOT: you wanna do this ?
    MOTyou wanna do some of this too ?
    MOTafter [/] after painting .
  3. eng_british_Manchester_II/ruth15a.cha, line 72 · Ruth, 2;4.08
    CHIno .
    MOTyou wanna do this ?
    MOT*MOT: you wanna do some of this too ?
    MOTafter [/] after painting .
    CHIMummy .
  4. eng_british_Manchester_II/ruth15a.cha, line 691 · Ruth, 2;4.08
    MOTput them away ?
    CHImmhm .
    MOT*MOT: do you wanna do another one ?
    CHIno .
    MOTno ?
  5. eng_british_Manchester_II/ruth15a.cha, line 889 · Ruth, 2;4.08
    MOTshall we have some red apples in the tree ?
    CHImmhm .
    MOT*MOT: do you wanna put some red apples in then ?
    MOTthere you go .
    MOT<you you> [/] you do the red .
  6. eng_british_Manchester_II/ruth15a.cha, line 950 · Ruth, 2;4.08
    CHImmhm please .
    CHIdown there .
    MOT*MOT: you wanna do those now .
    CHIMama .
    MOTokay .

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. Ruth eng_british_Manchester_II3.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth15a.chaRuth 2;4.081,835663.27

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. wanna6 · 100.0%