PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 2,199 words searched).

  1. you're tired out , aren't you ? MOT · eng_british_Manchester_II/nic29a.cha, line 1128 · Nicole 2;10
  2. you're tired out , aren't you ? MOT · eng_british_Manchester_II/nic29a.cha, line 1133 · Nicole 2;10
  3. there are her feet , aren't they ? MOT · eng_british_Manchester_II/nic29a.cha, line 1201 · Nicole 2;10
  4. you're gonna [: going to] hurt yourself , aren't you before you've done . MOT · eng_british_Manchester_II/nic29a.cha, line 1425 · Nicole 2;10
  5. aren't you going to put a hat on yours ? MOT · eng_british_Manchester_II/nic29a.cha, line 1701 · Nicole 2;10
  6. you are tired , aren't you ? MOT · eng_british_Manchester_II/nic29a.cha, line 1906 · Nicole 2;10
  1. MOTso .
    MOTare we gonna [: going to] cook your dollys a dinner ?
    MOT*MOT: you're tired out , aren't you ?
    MOThmm ?
    MOTyou're tired out , aren't you ?
  2. MOTyou're tired out , aren't you ?
    MOThmm ?
    MOT*MOT: you're tired out , aren't you ?
    MOTwe should've drawn , shouldn't we like I said .
    MOTshall we bring the easel up here ?
  3. MOTshe doesn't need any socks on , does she ?
    CHIxxx .
    MOT*MOT: there are her feet , aren't they ?
    CHIand what's them ?
    MOTwhat's what ?
  4. MOTwhoops .
    MOThey .
    MOT*MOT: you're gonna [: going to] hurt yourself , aren't you before you've done .
    MOTthen there'll be tears .
    CHIbyebye .
  5. MOTit's a clown .
    MOTisn't it ?
    MOT*MOT: aren't you going to put a hat on yours ?
    CHINicole can't do a hat .
    MOTshall I do a hat for you .
  6. INV<that's a> [/] that's a thought , isn't it ?
    MOTmmhm .
    MOT*MOT: you are tired , aren't you ?
    CHImmhm .
    MOTmmhm .

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_II2.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic29a.chaNicole 2;10.222,199662.73

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. aren't6 · 100.0%