PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (287 utterances, 1,125 words searched).

  1. haven't you done it tall there ? MOT · eng_british_Manchester_II/liz27a.cha, line 307 · Liz 2;08
  2. you've done his nice eyes , haven't you ? MOT · eng_british_Manchester_II/liz27a.cha, line 601 · Liz 2;08
  3. I haven't put any eyes on mine . MOT · eng_british_Manchester_II/liz27a.cha, line 730 · Liz 2;08
  4. we've got some room there , haven't we ? MOT · eng_british_Manchester_II/liz27a.cha, line 802 · Liz 2;08
  5. you've got the hair all round in the right place , haven't you ? MOT · eng_british_Manchester_II/liz27a.cha, line 841 · Liz 2;08
  1. eng_british_Manchester_II/liz27a.cha, line 307 · Liz, 2;8.14
    MOTwow .
    MOTit's got a big chimney , hasn't it ?
    MOT*MOT: haven't you done it tall there ?
    CHIeye brick .
    MOTyeah .
  2. eng_british_Manchester_II/liz27a.cha, line 601 · Liz, 2;8.14
    MOTmmhm .
    MOTthere you see .
    MOT*MOT: you've done his nice eyes , haven't you ?
    CHIand his legs .
    MOTlegs .
  3. eng_british_Manchester_II/liz27a.cha, line 730 · Liz, 2;8.14
    CHIthey want eyes as well .
    MOTwell they do really , don't they ?
    MOT*MOT: I haven't put any eyes on mine .
    MOTyou're giving yours some eyes , aren't you ?
    MOToh that's nice .
  4. eng_british_Manchester_II/liz27a.cha, line 802 · Liz, 2;8.14
    MOTfind a page where we've got er +...
    MOTshall we do it here ?
    MOT*MOT: we've got some room there , haven't we ?
    MOTI think we're running out of room in this pad , aren't we ?
    MOTI feel like there should be lots of spare pages but there aren't .
  5. eng_british_Manchester_II/liz27a.cha, line 841 · Liz, 2;8.14
    CHIsticky out hair .
    MOTsticky out hair .
    MOT*MOT: you've got the hair all round in the right place , haven't you ?
    MOTand a nice big smiley mouth .
    CHIit's in there now .

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_II4.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz27a.chaLiz 2;8.141,125554.44

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. haven't5 · 100.0%