PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

3.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (655 utterances, 2,390 words searched).

  1. want toast ? MOT · eng_british_Manchester_II/nic17a.cha, line 668 · Nicole 2;06
  2. I'll have some toast if you're going to do Mummy some toast . MOT · eng_british_Manchester_II/nic17a.cha, line 672 · Nicole 2;06
  3. I'll have some toast if you're going to do Mummy some toast . MOT · eng_british_Manchester_II/nic17a.cha, line 672 · Nicole 2;06
  4. I want some toast too please . INV · eng_british_Manchester_II/nic17a.cha, line 681 · Nicole 2;06
  5. toast as well . MOT · eng_british_Manchester_II/nic17a.cha, line 794 · Nicole 2;06
  6. don't you want the toast because Mummy's full . MOT · eng_british_Manchester_II/nic17a.cha, line 810 · Nicole 2;06
  7. ready for some toast ? MOT · eng_british_Manchester_II/nic17a.cha, line 1833 · Nicole 2;06
  8. do you want some pickle on your toast ? MOT · eng_british_Manchester_II/nic17a.cha, line 1900 · Nicole 2;06
  1. CHIwant [/] want toast now ?
    CHIwant toast ?
    MOT*MOT: want toast ?
    MOTyes .
    MOTI'll have some toast if you're going to do Mummy some toast .
  2. MOTwant toast ?
    MOTyes .
    MOT*MOT: I'll have some toast if you're going to do Mummy some toast .
    CHICaroline .
    INVand Caroline .
  3. INVand Caroline .
    INVyes .
    INV*INV: I want some toast too please .
    CHIand Nicole .
    INVand Nicole .
  4. MOTmmm .
    MOToh .
    MOT*MOT: toast as well .
    MOTshall I reach across and give it +//.
    MOTshall I give it Caroline ?
  5. CHIno .
    CHIbutter .
    MOT*MOT: don't you want the toast because Mummy's full .
    MOTcan you eat it for Mummy ?
    CHIno .
  6. MOToh .
    MOTthere .
    MOT*MOT: ready for some toast ?
    MOToh .
    MOTthat's a bit warm , isn't it ?
  7. MOTnight+night .
    MOTthis is better , isn't it ?
    MOT*MOT: do you want some pickle on your toast ?
    MOTright .
    CHIoh no .

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_II3.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic17a.chaNicole 2;6.162,390783.35

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. toast8 · 100.0%