PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (579 utterances, 2,054 words searched).

  1. +, two . MOT · eng_british_Manchester_II/nic03a.cha, line 1014 · Nicole 2;01
  2. one two three . MOT · eng_british_Manchester_II/nic03a.cha, line 1033 · Nicole 2;01
  3. two +... MOT · eng_british_Manchester_II/nic03a.cha, line 1082 · Nicole 2;01
  4. what follows two ? MOT · eng_british_Manchester_II/nic03a.cha, line 1632 · Nicole 2;01
  5. one two three four five six seven eight nine ten . MOT · eng_british_Manchester_II/nic03a.cha, line 1811 · Nicole 2;01
  6. one two three four five six seven eight nine ten . MOT · eng_british_Manchester_II/nic03a.cha, line 1853 · Nicole 2;01
  7. one two three . MOT · eng_british_Manchester_II/nic03a.cha, line 1968 · Nicole 2;01
  8. one two three four five six seven eight nine ten . MOT · eng_british_Manchester_II/nic03a.cha, line 2013 · Nicole 2;01
  1. MOTone +/.
    CHIMummy .
    MOT*MOT: +, two .
    CHItwo .
    MOTthree .
  2. MOTwhoops .
    MOTdon't think we'll get past four today .
    MOT*MOT: one two three .
    CHIxxx .
    MOTdo you want to poo ?
  3. MOTone +...
    CHIxxx .
    MOT*MOT: two +...
    CHI++ three .
    MOTare you sure you don't want to poo ?
  4. MOTput them on properly .
    CHItwo .
    MOT*MOT: what follows two ?
    CHIthree .
    MOTand +...
  5. INVNicole +//.
    INVNicole hide .
    MOT*MOT: one two three four five six seven eight nine ten .
    MOTcoming .
    MOTwhere's she gone ?
  6. MOTgo on then .
    MOTI'll count .
    MOT*MOT: one two three four five six seven eight nine ten .
    MOTnow .
    MOTwhere can she be ?
  7. MOTgo on then .
    MOThide .
    MOT*MOT: one two three .
    MOTgo on .
    MOTCoco can't see .
  8. CHIno .
    MOToh all right then .
    MOT*MOT: one two three four five six seven eight nine ten .
    MOThe's coming .
    MOThe's walking across the room .

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_II3.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic03a.chaNicole 2;1.152,054883.89

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. two8 · 100.0%