PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (294 utterances, 1,184 words searched).

  1. you want some milk . MOT · eng_british_Manchester_II/liz32a.cha, line 69 · Liz 2;09
  2. they're doing some swimming yeah . MOT · eng_british_Manchester_II/liz32a.cha, line 306 · Liz 2;09
  3. we're going to see if you can have some food . MOT · eng_british_Manchester_II/liz32a.cha, line 494 · Liz 2;09
  4. I think we need some more really . MOT · eng_british_Manchester_II/liz32a.cha, line 611 · Liz 2;09
  5. while you get some more stuff ready . MOT · eng_british_Manchester_II/liz32a.cha, line 624 · Liz 2;09
  1. eng_british_Manchester_II/liz32a.cha, line 69 · Liz, 2;9.25
    MOTbecause <it just> [/] it just will , won't [: willn't] it ?
    CHII want some milk .
    MOT*MOT: you want some milk .
    MOTokay .
    MOTshall we have a look at this book ?
  2. eng_british_Manchester_II/liz32a.cha, line 306 · Liz, 2;9.25
    MOTand what're they doing in the sea ?
    CHIswimming .
    MOT*MOT: they're doing some swimming yeah .
    MOTand sick days .
    MOTthey've got spots those two , haven't they ?
  3. eng_british_Manchester_II/liz32a.cha, line 494 · Liz, 2;9.25
    MOTnowhere .
    CHI<we are> [/] we are going to see I can have some food .
    MOT*MOT: we're going to see if you can have some food .
    MOTare you hungry ?
    CHIyeah .
  4. eng_british_Manchester_II/liz32a.cha, line 611 · Liz, 2;9.25
    MOTgo ahead then .
    MOTdo you want to bring that here while I you know squeeze it all together because it's all in bits , isn't it ?
    MOT*MOT: I think we need some more really .
    MOTit's getting very dry .
    MOTI'll squeeze it all together because it's [/] it's too dry to mess with , isn't it ?
  5. eng_british_Manchester_II/liz32a.cha, line 624 · Liz, 2;9.25
    MOTyeah .
    MOTit's all in bits .
    MOT*MOT: while you get some more stuff ready .
    CHIthat 0is [*] not too dry .
    MOTno it's just it's all in tiny weenie bits and that's no good , is it ?

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. Liz eng_british_Manchester_II4.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz32a.chaLiz 2;9.251,184554.22

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. some5 · 100.0%