PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 848 words searched).

  1. count them . MOT · eng_british_Manchester_II/nic14b.cha, line 826 · Nicole 2;05
  2. look again and count them properly . MOT · eng_british_Manchester_II/nic14b.cha, line 857 · Nicole 2;05
  3. count them then . MOT · eng_british_Manchester_II/nic14b.cha, line 865 · Nicole 2;05
  4. and count it properly . MOT · eng_british_Manchester_II/nic14b.cha, line 877 · Nicole 2;05
  5. are you going to count the bags , look ? MOT · eng_british_Manchester_II/nic14b.cha, line 899 · Nicole 2;05
  1. CHIone .
    MOTno .
    MOT*MOT: count them .
    MOThow many boots are there ?
    CHIone two .
  2. CHIone xxx .
    MOTno .
    MOT*MOT: look again and count them properly .
    CHIteddy+bear .
    MOTone .
  3. MOTone .
    CHIxxx .
    MOT*MOT: count them then .
    CHIone two three four .
    MOTno .
  4. MOTno , Nicole .
    MOTlook at it properly .
    MOT*MOT: and count it properly .
    CHIxxx .
    MOTone two three .
  5. CHIxxx .
    MOTxxx .
    MOT*MOT: are you going to count the bags , look ?
    MOThow many .
    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_II5.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic14b.chaNicole 2;5.05848555.90

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. count5 · 100.0%