PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,794 words searched).

  1. I think that piece you put in before must be wrong . MOT · eng_british_Manchester_II/warr22a.cha, line 132 · Warren 2;05
  2. if you do chew that again yes you will be a naughty boy . MOT · eng_british_Manchester_II/warr22a.cha, line 253 · Warren 2;05
  3. so that can't be right , can it ? MOT · eng_british_Manchester_II/warr22a.cha, line 391 · Warren 2;05
  4. you be careful how you have little bumps . MOT · eng_british_Manchester_II/warr22a.cha, line 1040 · Warren 2;05
  5. why did they have to be washed ? MOT · eng_british_Manchester_II/warr22a.cha, line 1440 · Warren 2;05
  6. why did they have to be washed ? MOT · eng_british_Manchester_II/warr22a.cha, line 1442 · Warren 2;05
  1. CHIthis goes there .
    MOTit does .
    MOT*MOT: I think that piece you put in before must be wrong .
    CHIthat goes there .
    MOTis that piece right ?
  2. MOTbless you .
    CHIWarren chews that next time I'm a naughty boy .
    MOT*MOT: if you do chew that again yes you will be a naughty boy .
    MOTbut you won't [: willn't] chew it again because you're a big boy .
    CHII 0am [*] chewing next time I chew it .
  3. CHInot got two heads .
    MOTno .
    MOT*MOT: so that can't be right , can it ?
    MOToh dear .
    CHIoh dear .
  4. CHIthey go <have a little> [/] have a little bump .
    MOToh right .
    MOT*MOT: you be careful how you have little bumps .
    MOTyou are an embarrassment child .
    CHIwant to go xxx , Mummy .
  5. MOTthat's the machine making sure all the water comes out of them .
    CHIxxx and washed them .
    MOT*MOT: why did they have to be washed ?
    MOTwhy did they have to be washed ?
    MOTthey were dirty , weren't they ?
  6. CHIxxx and washed them .
    MOTwhy did they have to be washed ?
    MOT*MOT: why did they have to be washed ?
    MOTthey were dirty , weren't they ?
    MOTrabbit had got chocolate on him .

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. Warren eng_british_Manchester_II3.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr22a.chaWarren 2;5.201,794663.34

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. be6 · 100.0%