PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

3.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (629 utterances, 2,271 words searched).

  1. nibble . MOT · eng_british_Manchester_I/anne22a.cha, line 1762 · Anne 2;05
  2. he's gonna [: going to] nibble my bottom ,, is he ? MOT · eng_british_Manchester_I/anne22a.cha, line 1772 · Anne 2;05
  3. nibble . MOT · eng_british_Manchester_I/anne22a.cha, line 1846 · Anne 2;05
  4. he's coming to nibble Caitlin ? MOT · eng_british_Manchester_I/anne22a.cha, line 1889 · Anne 2;05
  5. what's he gonna [: going to] nibble ? MOT · eng_british_Manchester_I/anne22a.cha, line 1891 · Anne 2;05
  6. nibble nibble . MOT · eng_british_Manchester_I/anne22a.cha, line 2121 · Anne 2;05
  7. nibble nibble . MOT · eng_british_Manchester_I/anne22a.cha, line 2121 · Anne 2;05
  1. eng_british_Manchester_I/anne22a.cha, line 1762 · Anne, 2;5.04
    MOTxxx .
    CHInibble .
    MOT*MOT: nibble .
    CHInibble .
    MOThe's nibbling my toes .
  2. eng_british_Manchester_I/anne22a.cha, line 1772 · Anne, 2;5.04
    MOTow ow .
    CHInibble your bottom .
    MOT*MOT: he's gonna [: going to] nibble my bottom ,, is he ?
    CHIxxx .
    CHInibble .
  3. eng_british_Manchester_I/anne22a.cha, line 1846 · Anne, 2;5.04
    MOThere he comes .
    CHIhe can get here .
    MOT*MOT: nibble .
    CHIno .
    CHIdon't do it again .
  4. eng_british_Manchester_I/anne22a.cha, line 1889 · Anne, 2;5.04
    CHIit 0is [*] coming nibble Caitlin .
    MOThe's not ,, is he ?
    MOT*MOT: he's coming to nibble Caitlin ?
    MOTwhat's he gonna [: going to] nibble ?
    CHInibble .
  5. eng_british_Manchester_I/anne22a.cha, line 1891 · Anne, 2;5.04
    MOThe's not ,, is he ?
    MOThe's coming to nibble Caitlin ?
    MOT*MOT: what's he gonna [: going to] nibble ?
    CHInibble .
    MOToh .
  6. eng_british_Manchester_I/anne22a.cha, line 2121 · Anne, 2;5.04
    INVis he ?
    INVah !
    MOT*MOT: nibble nibble .
    CHIno no .
    INVwhat's the matter ?

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. Anne eng_british_Manchester_I3.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne22a.chaAnne 2;5.042,271673.08

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. nibble7 · 100.0%