PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (473 utterances, 1,707 words searched).

  1. are you cold ? MOT · eng_british_Manchester_II/nic30a.cha, line 919 · Nicole 2;10
  2. are you cold ? MOT · eng_british_Manchester_II/nic30a.cha, line 927 · Nicole 2;10
  3. are you cold ? MOT · eng_british_Manchester_II/nic30a.cha, line 931 · Nicole 2;10
  4. your feet are very cold . MOT · eng_british_Manchester_II/nic30a.cha, line 937 · Nicole 2;10
  5. but your feet are cold , aren't they ? MOT · eng_british_Manchester_II/nic30a.cha, line 943 · Nicole 2;10
  1. CHIno .
    MOTno .
    MOT*MOT: are you cold ?
    CHIxxx .
    MOTdon't do that .
  2. MOTdon't do that .
    MOTthat's dirty .
    MOT*MOT: are you cold ?
    CHIwhy ?
    MOTare you cold ?
  3. MOTare you cold ?
    CHIwhy ?
    MOT*MOT: are you cold ?
    CHIno .
    MOTyour feet are .
  4. CHIno .
    MOTyour feet are .
    MOT*MOT: your feet are very cold .
    CHIxxx .
    MOTyour [/] your arms aren't .
  5. CHIxxx .
    MOTyour [/] your arms aren't .
    MOT*MOT: but your feet are cold , aren't they ?
    CHIwhy ?
    CHIthat's warm enough .

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_II2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic30a.chaNicole 2;10.291,707552.93

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. cold5 · 100.0%