PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (528 utterances, 2,071 words searched).

  1. how many bees can you see ? MOT · eng_british_Manchester_II/nic27b.cha, line 642 · Nicole 2;10
  2. how many bees are there ? MOT · eng_british_Manchester_II/nic27b.cha, line 644 · Nicole 2;10
  3. how many cows are there ? MOT · eng_british_Manchester_II/nic27b.cha, line 676 · Nicole 2;10
  4. how many cows ? MOT · eng_british_Manchester_II/nic27b.cha, line 678 · Nicole 2;10
  5. see how many there are ? MOT · eng_british_Manchester_II/nic27b.cha, line 691 · Nicole 2;10
  1. CHIwhere tractor ?
    MOTthere's the tractor .
    MOT*MOT: how many bees can you see ?
    MOThow many bees are there ?
    CHIone .
  2. MOTthere's the tractor .
    MOThow many bees can you see ?
    MOT*MOT: how many bees are there ?
    CHIone .
    MOTone .
  3. MOTand +...
    CHIthere .
    MOT*MOT: how many cows are there ?
    MOThow many cows ?
    MOTcan't you see the cows ?
  4. CHIthere .
    MOThow many cows are there ?
    MOT*MOT: how many cows ?
    MOTcan't you see the cows ?
    MOTno ?
  5. MOThmm ?
    MOTcan we count them ?
    MOT*MOT: see how many there are ?
    MOThmm ?
    MOTdon't you want to ?

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_II2.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic27b.chaNicole 2;10.012,071552.41

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. many5 · 100.0%