PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (262 utterances, 1,144 words searched).

  1. we have to put that other one up that you made with the big sun on , haven't we ? MOT · eng_british_Manchester_II/liz26a.cha, line 22 · Liz 2;08
  2. you've only just got up , haven't you ? MOT · eng_british_Manchester_II/liz26a.cha, line 243 · Liz 2;08
  3. well I haven't got enough to do a snowman I'm afraid . MOT · eng_british_Manchester_II/liz26a.cha, line 1074 · Liz 2;08
  1. eng_british_Manchester_II/liz26a.cha, line 22 · Liz, 2;8.
    MOTit's a bit wonky , isn't it ?
    MOTwe'll have to fix it because we'll have to change the calendar now .
    MOT*MOT: we have to put that other one up that you made with the big sun on , haven't we ?
    MOTso we'll fix the bow to make it straight as well .
    FATyou mad dog .
  2. eng_british_Manchester_II/liz26a.cha, line 243 · Liz, 2;8.
    CHIand my big xxx .
    CHII wake up xxx .
    MOT*MOT: you've only just got up , haven't you ?
    CHIwhat's this ?
    MOTwell <that's for> [/] that's for Paddington .
  3. eng_british_Manchester_II/liz26a.cha, line 1074 · Liz, 2;8.
    CHIdo a snowman .
    CHIa snowman .
    MOT*MOT: well I haven't got enough to do a snowman I'm afraid .
    MOTyou'll have to give me a bit more .
    MOTdo you want to give me a bit more and then I can make a snowman ?

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_II2.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz26a.chaLiz 2;8.1,144332.62

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't3 · 100.0%