PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (601 utterances, 2,461 words searched).

  1. he's a naughty tiger . MOT · eng_british_Manchester_II/ruth19b.cha, line 994 · Ruth 2;05
  2. he's naughty ? MOT · eng_british_Manchester_II/ruth19b.cha, line 1013 · Ruth 2;05
  3. that is a bit naughty , isn't it ? MOT · eng_british_Manchester_II/ruth19b.cha, line 1035 · Ruth 2;05
  4. he's naughty ? MOT · eng_british_Manchester_II/ruth19b.cha, line 1087 · Ruth 2;05
  5. is that tiger being naughty again ? MOT · eng_british_Manchester_II/ruth19b.cha, line 1159 · Ruth 2;05
  6. he's very naughty . MOT · eng_british_Manchester_II/ruth19b.cha, line 1173 · Ruth 2;05
  7. he's a naughty bull ? MOT · eng_british_Manchester_II/ruth19b.cha, line 1423 · Ruth 2;05
  1. CHIback the tiger .
    CHInaughty tiger .
    MOT*MOT: he's a naughty tiger .
    MOToh: .
    MOThas the tiger escaped from the zoo ?
  2. CHIno .
    CHIhe 0is [*] naughty .
    MOT*MOT: he's naughty ?
    MOTwhat's the tiger done ?
    CHIbit bear .
  3. MOTdid he bite the man ?
    MOToh I see .
    MOT*MOT: that is a bit naughty , isn't it ?
    MOTyou wouldn't bite , would you ?
    MOTwould you ?
  4. MOTwhy do you not like the tiger ?
    CHIhe 0is [*] naughty .
    MOT*MOT: he's naughty ?
    CHImmhm .
    MOToh are you gonna [: going to] put the horse in ?
  5. MOTsee can we find some other animals .
    CHIno , tiger .
    MOT*MOT: is that tiger being naughty again ?
    CHImmhm .
    MOTwhat does he do ?
  6. CHImmhm .
    MOTthat's terrible .
    MOT*MOT: he's very naughty .
    MOTright .
    MOTwell shall we <have a little> [//] have little farm animals again ?
  7. MOTwhoops .
    CHIa naughty bull .
    MOT*MOT: he's a naughty bull ?
    CHImmhm .
    MOTI think he probably is if he knocked our fences down .

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. Ruth eng_british_Manchester_II2.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth19b.chaRuth 2;5.202,461772.84

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. naughty7 · 100.0%