PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,049 words searched).

  1. we've got plenty of nanas . MOT · eng_british_Manchester_II/liz25b.cha, line 307 · Liz 2;07
  2. I'll go and have a look what we've got . MOT · eng_british_Manchester_II/liz25b.cha, line 313 · Liz 2;07
  3. we've got a glut of nanas . MOT · eng_british_Manchester_II/liz25b.cha, line 319 · Liz 2;07
  1. eng_british_Manchester_II/liz25b.cha, line 307 · Liz, 2;7.17
    CHIwant a nana .
    MOTyes .
    MOT*MOT: we've got plenty of nanas .
    MOTwould you like a nana ?
    CHIorange .
  2. eng_british_Manchester_II/liz25b.cha, line 313 · Liz, 2;7.17
    MOTwould you like a nana ?
    CHIorange .
    MOT*MOT: I'll go and have a look what we've got .
    MOTI think it's nanas or nothing at the moment .
    MOTwe've got a glut of nanas .
  3. eng_british_Manchester_II/liz25b.cha, line 319 · Liz, 2;7.17
    MOTI'll go and have a look what we've got .
    MOTI think it's nanas or nothing at the moment .
    MOT*MOT: we've got a glut of nanas .
    MOTokay ?
    MOTis that nice ?

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_II2.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz25b.chaLiz 2;7.171,049332.86

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. we've3 · 100.0%