PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (492 utterances, 2,004 words searched).

  1. um can we get off the table please before we fall off and cry ? MOT · eng_british_Manchester_II/nic25a.cha, line 118 · Nicole 2;09
  2. are you going to sit down on the chair please ? MOT · eng_british_Manchester_II/nic25a.cha, line 167 · Nicole 2;09
  3. please will you get down ? MOT · eng_british_Manchester_II/nic25a.cha, line 179 · Nicole 2;09
  4. can I have some playdough then please to make some flowers with . MOT · eng_british_Manchester_II/nic25a.cha, line 703 · Nicole 2;09
  5. please ? MOT · eng_british_Manchester_II/nic25a.cha, line 884 · Nicole 2;09
  6. yes please . INV · eng_british_Manchester_II/nic25a.cha, line 897 · Nicole 2;09
  7. get a knife and a fork please . MOT · eng_british_Manchester_II/nic25a.cha, line 1434 · Nicole 2;09
  1. CHIthat 0is [*] mine .
    CHIxxx .
    MOT*MOT: um can we get off the table please before we fall off and cry ?
    CHIno .
    CHIno .
  2. MOTthat's it .
    MOTnow .
    MOT*MOT: are you going to sit down on the chair please ?
    CHIno .
    MOTyou can sit here or you can go round there and sit with Caroline .
  3. MOTbut I want you off the table .
    CHInot want to .
    MOT*MOT: please will you get down ?
    CHIxxx .
    MOTpardon ?
  4. MOTcan I make some flowers ?
    CHIyeah .
    MOT*MOT: can I have some playdough then please to make some flowers with .
    CHIxxx .
    MOThmm ?
  5. CHIwhat 0have [*] you got in your hand ?
    MOTcould I have that piece of playdough to make my flower+head ?
    MOT*MOT: please ?
    CHIxxx .
    MOToh thank you .
  6. MOTI'll be able to make a bunch out of those .
    CHIwant one ?
    INV*INV: yes please .
    INVthank you .
    CHINicole +...
  7. MOTyou want a knife and a fork .
    CHInot [*] want to .
    MOT*MOT: get a knife and a fork please .
    CHInot want to .
    MOTare you going to get your stew out 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_II3.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic25a.chaNicole 2;9.092,004773.49

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. please7 · 100.0%