PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

3.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (574 utterances, 2,116 words searched).

  1. then you'll sit back and watch . MOT · eng_british_Manchester_II/nic28a.cha, line 448 · Nicole 2;10
  2. sit [/] sit back look . MOT · eng_british_Manchester_II/nic28a.cha, line 542 · Nicole 2;10
  3. sit [/] sit back look . MOT · eng_british_Manchester_II/nic28a.cha, line 542 · Nicole 2;10
  4. why don't you turn round and you can do it a lot easier if you sit round like Mummy . MOT · eng_british_Manchester_II/nic28a.cha, line 894 · Nicole 2;10
  5. if you sit round like Mummy you'll do it a lot easier . MOT · eng_british_Manchester_II/nic28a.cha, line 907 · Nicole 2;10
  6. can you turn round and sit properly otherwise we willn't play snap . MOT · eng_british_Manchester_II/nic28a.cha, line 1004 · Nicole 2;10
  7. sit there . MOT · eng_british_Manchester_II/nic28a.cha, line 1375 · Nicole 2;10
  1. INVokay .
    MOTright bossy boots you are , aren't you ?
    MOT*MOT: then you'll sit back and watch .
    CHIand do [/] do that .
    INVum +...
  2. CHIyeah .
    MOTthe strongman .
    MOT*MOT: sit [/] sit back look .
    CHIyeah .
    MOTthe trapeze artist .
  3. MOThmm ?
    CHIxxx .
    MOT*MOT: why don't you turn round and you can do it a lot easier if you sit round like Mummy .
    CHIoh .
    CHIdone it .
  4. CHIwhoops .
    MOTyeah .
    MOT*MOT: if you sit round like Mummy you'll do it a lot easier .
    MOTthat's it .
    CHIxxx .
  5. MOTare you going to deal the cards then please ?
    CHINicole 0is [*] sitting on the table .
    MOT*MOT: can you turn round and sit properly otherwise we willn't play snap .
    MOTwe'll put them away .
    CHIoh .
  6. CHIxxx .
    MOTalright then .
    MOT*MOT: sit there .
    MOTI'll just go and find some paper .
    CHIthank you , Mummy .

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_II3.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic28a.chaNicole 2;10.082,116673.31

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. sit7 · 100.0%