PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (452 utterances, 1,809 words searched).

  1. have a pink frock on instead of her [/] her trousers and jumper . MOT · eng_british_Manchester_II/nic26a.cha, line 82 · Nicole 2;09
  2. there are lots of bubbles , aren't there ? MOT · eng_british_Manchester_II/nic26a.cha, line 144 · Nicole 2;09
  3. is she getting out of the bath yet ? MOT · eng_british_Manchester_II/nic26a.cha, line 172 · Nicole 2;09
  4. and a nice cup of coffee ? MOT · eng_british_Manchester_II/nic26a.cha, line 1175 · Nicole 2;09
  5. because you haven't got a lot of patience , have you , Nicole ? MOT · eng_british_Manchester_II/nic26a.cha, line 1637 · Nicole 2;09
  1. eng_british_Manchester_II/nic26a.cha, line 82 · Nicole, 2;9.17
    MOTshall we put her her pretty pink frock on as it's getting near summer .
    MOTthink she'd like that .
    MOT*MOT: have a pink frock on instead of her [/] her trousers and jumper .
    MOThmm ?
    CHIno .
  2. eng_british_Manchester_II/nic26a.cha, line 144 · Nicole, 2;9.17
    CHIdear .
    MOThmm ?
    MOT*MOT: there are lots of bubbles , aren't there ?
    CHIyeah .
    MOTdo you like bubbles in your bath ?
  3. eng_british_Manchester_II/nic26a.cha, line 172 · Nicole, 2;9.17
    MOTyou want to put the cream on when you dry her , don't you ?
    CHIyeah .
    MOT*MOT: is she getting out of the bath yet ?
    CHIyes .
    MOTyes .
  4. eng_british_Manchester_II/nic26a.cha, line 1175 · Nicole, 2;9.17
    MOTcan I have toast and orange+juice please ?
    CHIright .
    MOT*MOT: and a nice cup of coffee ?
    CHIrightie ho .
    CHIxxx .
  5. eng_british_Manchester_II/nic26a.cha, line 1637 · Nicole, 2;9.17
    CHIoh .
    CHIxxx .
    MOT*MOT: because you haven't got a lot of patience , have you , Nicole ?
    MOToh .
    MOTis toast ready ?

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. Nicole eng_british_Manchester_II2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic26a.chaNicole 2;9.171,809552.76

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.

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