PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (484 utterances, 1,805 words searched).

  1. jump . MOT · eng_british_Manchester_II/nic02b.cha, line 1573 · Nicole 2;01
  2. has Mummy got to jump as well ? MOT · eng_british_Manchester_II/nic02b.cha, line 1577 · Nicole 2;01
  3. jump . MOT · eng_british_Manchester_II/nic02b.cha, line 1583 · Nicole 2;01
  4. Nicole jump . INV · eng_british_Manchester_II/nic02b.cha, line 1587 · Nicole 2;01
  5. xxx jump . INV · eng_british_Manchester_II/nic02b.cha, line 1599 · Nicole 2;01
  1. MOTgo on then .
    CHIjump .
    MOT*MOT: jump .
    CHIMummy jump .
    MOThas Mummy got to jump as well ?
  2. MOTjump .
    CHIMummy jump .
    MOT*MOT: has Mummy got to jump as well ?
    MOTare you ready .
    CHIyeah .
  3. MOTare you ready .
    CHIyeah .
    MOT*MOT: jump .
    CHINana jump .
    INVNicole jump .
  4. MOTjump .
    CHINana jump .
    INV*INV: Nicole jump .
    MOTcareful .
    MOTcareful .
  5. MOTwell go on then .
    CHII[?] jump .
    INV*INV: xxx jump .
    CHIDaddy [?] xxx .
    MOTand why have I got to go through there ?

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_II2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic02b.chaNicole 2;1.011,805552.77

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. jump5 · 100.0%