PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (304 utterances, 1,389 words searched).

  1. what's in there , Warren ? INV · eng_british_Manchester_II/warr20a.cha, line 69 · Warren 2;04
  2. we seem to be missing some of this tea set , Warren . MOT · eng_british_Manchester_II/warr20a.cha, line 105 · Warren 2;04
  3. Warren put stars on it . MOT · eng_british_Manchester_II/warr20a.cha, line 304 · Warren 2;04
  4. Warren do stars . MOT · eng_british_Manchester_II/warr20a.cha, line 314 · Warren 2;04
  5. I can probably use this to do a w@l for Warren . MOT · eng_british_Manchester_II/warr20a.cha, line 410 · Warren 2;04
  6. oh it's not a good idea to have it wet on here , Warren . MOT · eng_british_Manchester_II/warr20a.cha, line 533 · Warren 2;04
  7. Warren ? MOT · eng_british_Manchester_II/warr20a.cha, line 586 · Warren 2;04
  8. and Warren . MOT · eng_british_Manchester_II/warr20a.cha, line 764 · Warren 2;04
  1. MOTlet's have a look what's in here .
    MOTwhat's all this stuff ?
    INV*INV: what's in there , Warren ?
    CHII want to tip it all out .
    INVgo on then .
  2. MOTcan I have some hot+choc please ?
    CHIoh yes please .
    MOT*MOT: we seem to be missing some of this tea set , Warren .
    MOTI wonder where it might be .
    CHIwhere it be .
  3. CHIMummy put stars on .
    MOTno .
    MOT*MOT: Warren put stars on it .
    MOTyou're good at doing stars .
    CHIno .
  4. MOTyou are .
    MOTtell you what .
    MOT*MOT: Warren do stars .
    MOTMummy'll do flowers .
    MOTokay .
  5. MOTI don't know where it is .
    MOTI have to think of something I can use .
    MOT*MOT: I can probably use this to do a w@l for Warren .
    CHIm@l for Amy .
    MOTpardon ?
  6. MOTdo it after three .
    CHIone two three four .
    MOT*MOT: oh it's not a good idea to have it wet on here , Warren .
    MOTbecause it spoils it a bit .
    MOTlet's just wipe it off .
  7. MOTyou're not a baby .
    MOTwhat do babys wear ?
    MOT*MOT: Warren ?
    MOTwhat do babys wear ?
    MOTbabys wear nappys .
  8. CHIwhee .
    MOTwhere are they going now ?
    MOT*MOT: and Warren .
    MOTwhat do engines always do before they go through under bridges ?
    MOTthey go poop^poop@o .

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_II5.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr20a.chaWarren 2;4.221,389885.76

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. warren8 · 100.0%