PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (534 utterances, 2,049 words searched).

  1. cheese , that's right . INV · eng_british_Manchester_II/nic05b.cha, line 855 · Nicole 2;02
  2. cheese , good girl . MOT · eng_british_Manchester_II/nic05b.cha, line 857 · Nicole 2;02
  3. we can't hear you with that piece of cheese stuck in your mouth . MOT · eng_british_Manchester_II/nic05b.cha, line 915 · Nicole 2;02
  4. are you going to put the cheese on ? MOT · eng_british_Manchester_II/nic05b.cha, line 947 · Nicole 2;02
  5. are you going to put the cheese on please ? MOT · eng_british_Manchester_II/nic05b.cha, line 950 · Nicole 2;02
  6. put the cheese on there ? MOT · eng_british_Manchester_II/nic05b.cha, line 953 · Nicole 2;02
  7. are you going to put the cheese on top of the meat for Mummy ? MOT · eng_british_Manchester_II/nic05b.cha, line 964 · Nicole 2;02
  1. MOTa junk treat for you .
    CHIcheese .
    INV*INV: cheese , that's right .
    MOTcheese , good girl .
    MOTthere , fully clothed now .
  2. CHIcheese .
    INVcheese , that's right .
    MOT*MOT: cheese , good girl .
    MOTthere , fully clothed now .
    MOTwhat else is in there ?
  3. MOTpardon ?
    CHIxxx .
    MOT*MOT: we can't hear you with that piece of cheese stuck in your mouth .
    MOTshall we make a burger ?
    MOTshall we make a burger up for dolly ?
  4. CHIno way .
    CHIno way .
    MOT*MOT: are you going to put the cheese on ?
    MOTare you going to put the cheese on please ?
    MOTput the cheese on there ?
  5. CHIno way .
    MOTare you going to put the cheese on ?
    MOT*MOT: are you going to put the cheese on please ?
    MOTput the cheese on there ?
    MOTno ?
  6. MOTare you going to put the cheese on ?
    MOTare you going to put the cheese on please ?
    MOT*MOT: put the cheese on there ?
    MOTno ?
    MOTshe'll have to have her burger cheeseless .
  7. MOTgo on .
    MOTxxx .
    MOT*MOT: are you going to put the cheese on top of the meat for Mummy ?
    MOTthen you can feed it to dolly , can't you ?
    MOTmaybe Co_co would like some burger .

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_II3.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic05b.chaNicole 2;2.052,049773.42

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. cheese7 · 100.0%