PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (614 utterances, 2,573 words searched).

  1. are you going to find some toast to put in this toaster to make Morag some toast ? MOT · eng_british_Manchester_II/nic04a.cha, line 450 · Nicole 2;01
  2. find [/] find the bread then for the toaster . MOT · eng_british_Manchester_II/nic04a.cha, line 514 · Nicole 2;01
  3. find [/] find the bread then for the toaster . MOT · eng_british_Manchester_II/nic04a.cha, line 514 · Nicole 2;01
  4. I think you'll find a glass in this cupboard . MOT · eng_british_Manchester_II/nic04a.cha, line 1316 · Nicole 2;01
  5. put [/] put it on the cake stand and then we'll find the candles and we'll put the candles on . MOT · eng_british_Manchester_II/nic04a.cha, line 1803 · Nicole 2;01
  6. I think you'll find the candles are in the fruit+bowl , Nicole ? MOT · eng_british_Manchester_II/nic04a.cha, line 1812 · Nicole 2;01
  1. MOTwas that your double+dutch ?
    MOThmm ?
    MOT*MOT: are you going to find some toast to put in this toaster to make Morag some toast ?
    MOTmaybe Rachel would like some toast ?
    INVmmm .
  2. MOTleave the door alone .
    MOTthat's naughty .
    MOT*MOT: find [/] find the bread then for the toaster .
    MOTyou're too interested in that biscuit , aren't you ?
    INVwww .
  3. MOTwhere's a glass .
    MOTyou want a glass , don't you ?
    MOT*MOT: I think you'll find a glass in this cupboard .
    CHIokay .
    MOToh is there some tea in there ?
  4. MOTNicole .
    INVdo you want to slice it up into quarters ?
    MOT*MOT: put [/] put it on the cake stand and then we'll find the candles and we'll put the candles on .
    INVoh has it got candles as well ?
    INVwow .
  5. INVoh has it got candles as well ?
    INVwow .
    MOT*MOT: I think you'll find the candles are in the fruit+bowl , Nicole ?
    INVwhat's over here ?
    CHIxxx .

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_II2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic04a.chaNicole 2;1.222,573562.33

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. find6 · 100.0%