PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (429 utterances, 1,532 words searched).

  1. now we've got a baby cow which is a calf . MOT · eng_british_Manchester_II/nic10b.cha, line 151 · Nicole 2;04
  2. we've got some cat+food . MOT · eng_british_Manchester_II/nic10b.cha, line 222 · Nicole 2;04
  3. we've not been for a MacDonalds , have we ? MOT · eng_british_Manchester_II/nic10b.cha, line 279 · Nicole 2;04
  4. we've got an aubergine . MOT · eng_british_Manchester_II/nic10b.cha, line 286 · Nicole 2;04
  1. MOTthat's it .
    MOTactually I think that must be a goose's favorite position in the worrying position like that .
    MOT*MOT: now we've got a baby cow which is a calf .
    CHIcalf .
    MOTa mummy cow .
  2. MOThaven't had dog food before , have we ?
    MOToh .
    MOT*MOT: we've got some cat+food .
    MOTno .
    MOTit's just ordinary Whiskers .
  3. MOTmmm .
    MOTa MacDonalds .
    MOT*MOT: we've not been for a MacDonalds , have we ?
    MOToh look .
    MOTgetting posh , look .
  4. MOToh look .
    MOTgetting posh , look .
    MOT*MOT: we've got an aubergine .
    MOTand that's supposed to be an avocado .
    CHIxxx .

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_II2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic10b.chaNicole 2;4.1,532442.61

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've4 · 100.0%