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. there's three . MOT · eng_british_Manchester_II/nic03a.cha, line 984 · Nicole 2;01
  2. three . MOT · eng_british_Manchester_II/nic03a.cha, line 1018 · Nicole 2;01
  3. one two three . MOT · eng_british_Manchester_II/nic03a.cha, line 1033 · Nicole 2;01
  4. one two three four five six seven eight nine ten . MOT · eng_british_Manchester_II/nic03a.cha, line 1811 · Nicole 2;01
  5. one two three four five six seven eight nine ten . MOT · eng_british_Manchester_II/nic03a.cha, line 1853 · Nicole 2;01
  6. one two three . MOT · eng_british_Manchester_II/nic03a.cha, line 1968 · Nicole 2;01
  7. three four five six seven <eight nine> [>] ten . MOT · eng_british_Manchester_II/nic03a.cha, line 1974 · 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. MOTit's not very flat really anyway .
    MOTso +...
    MOT*MOT: there's three .
    MOTfour .
    MOTxxx .
  2. MOT+, two .
    CHItwo .
    MOT*MOT: three .
    CHIfour .
    MOTfour .
  3. MOTwhoops .
    MOTdon't think we'll get past four today .
    MOT*MOT: one two three .
    CHIxxx .
    MOTdo you want to poo ?
  4. INVNicole +//.
    INVNicole hide .
    MOT*MOT: one two three four five six seven eight nine ten .
    MOTcoming .
    MOTwhere's she gone ?
  5. MOTgo on then .
    MOTI'll count .
    MOT*MOT: one two three four five six seven eight nine ten .
    MOTnow .
    MOTwhere can she be ?
  6. MOTgo on then .
    MOThide .
    MOT*MOT: one two three .
    MOTgo on .
    MOTCoco can't see .
  7. MOTgo on .
    MOTCoco can't see .
    MOT*MOT: three four five six seven <eight nine> [>] ten .
    CHIxxx [<] .
    MOTright .
  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. three8 · 100.0%