PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (365 utterances, 1,433 words searched).

  1. come and sit on my knee . MOT · eng_british_Manchester_II/nic30b.cha, line 81 · Nicole 2;10
  2. why can't you sit on my knee ? MOT · eng_british_Manchester_II/nic30b.cha, line 353 · Nicole 2;10
  3. come and sit on my knee . MOT · eng_british_Manchester_II/nic30b.cha, line 372 · Nicole 2;10
  4. you can sit on my knee but you're not jumping all over me . MOT · eng_british_Manchester_II/nic30b.cha, line 506 · Nicole 2;10
  5. are you going to come and sit on Mummy's knee ? MOT · eng_british_Manchester_II/nic30b.cha, line 821 · Nicole 2;10
  6. why don't you just sit on my knee and listen to the story . MOT · eng_british_Manchester_II/nic30b.cha, line 880 · Nicole 2;10
  7. come and sit on my knee and tell me what the problem is . MOT · eng_british_Manchester_II/nic30b.cha, line 1146 · Nicole 2;10
  1. MOToh well .
    MOTit'll be here soon enough .
    MOT*MOT: come and sit on my knee .
    CHIno .
    MOTwhat's that ?
  2. MOTpardon ?
    CHIcan't sit on your knee .
    MOT*MOT: why can't you sit on my knee ?
    MOToh .
    MOToh .
  3. CHIand a monkey .
    MOTwell .
    MOT*MOT: come and sit on my knee .
    CHIwhy ?
    MOTwhy not ?
  4. MOTI've said no .
    MOTnot having you jumping all over me .
    MOT*MOT: you can sit on my knee but you're not jumping all over me .
    MOTnow .
    MOTwhat's it to be ?
  5. INVoh .
    INVokay .
    MOT*MOT: are you going to come and sit on Mummy's knee ?
    MOTno .
    MOTbyebye then .
  6. CHInothing .
    MOTwell .
    MOT*MOT: why don't you just sit on my knee and listen to the story .
    CHIdon't want to .
    MOTyou don't want to ?
  7. CHIyeah .
    MOTanybody would think he was the most marvelous man on this earth .
    MOT*MOT: come and sit on my knee and tell me what the problem is .
    MOTare you hungry ?
    CHIno .

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_II4.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic30b.chaNicole 2;10.291,433774.88

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. knee7 · 100.0%