PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (557 utterances, 2,088 words searched).

  1. you wanna take that off now ? MOT · eng_british_Manchester_II/ruth09a.cha, line 351 · Ruth 2;02
  2. you take it off . MOT · eng_british_Manchester_II/ruth09a.cha, line 359 · Ruth 2;02
  3. do you want to take it off so it won't [: willn't] get dirty ? INV · eng_british_Manchester_II/ruth09a.cha, line 375 · Ruth 2;02
  4. have you not taken that off yet ? MOT · eng_british_Manchester_II/ruth09a.cha, line 382 · Ruth 2;02
  5. are we taking all the clothes off ? MOT · eng_british_Manchester_II/ruth09a.cha, line 414 · Ruth 2;02
  6. off you go . MOT · eng_british_Manchester_II/ruth09a.cha, line 497 · Ruth 2;02
  7. you knocked me off my chair . MOT · eng_british_Manchester_II/ruth09a.cha, line 1427 · Ruth 2;02
  1. eng_british_Manchester_II/ruth09a.cha, line 351 · Ruth, 2;2.07
    CHImmhm .
    CHIme in there .
    MOT*MOT: you wanna take that off now ?
    CHIno .
    MOTdon't wanna get dirty .
  2. eng_british_Manchester_II/ruth09a.cha, line 359 · Ruth, 2;2.07
    MOTdon't wanna get dirty .
    MOTthat's it .
    MOT*MOT: you take it off .
    CHIno .
    CHIno .
  3. eng_british_Manchester_II/ruth09a.cha, line 375 · Ruth, 2;2.07
    CHIno .
    INVno .
    INV*INV: do you want to take it off so it won't [: willn't] get dirty ?
    CHIno .
    INVoh .
  4. eng_british_Manchester_II/ruth09a.cha, line 382 · Ruth, 2;2.07
    CHIno .
    INVoh .
    MOT*MOT: have you not taken that off yet ?
    CHIno .
    MOToh .
  5. eng_british_Manchester_II/ruth09a.cha, line 414 · Ruth, 2;2.07
    CHIyeah .
    MOTyeah .
    MOT*MOT: are we taking all the clothes off ?
    CHIyeah .
    MOToh .
  6. eng_british_Manchester_II/ruth09a.cha, line 497 · Ruth, 2;2.07
    CHImmhm .
    MOTokay .
    MOT*MOT: off you go .
    CHIMama .
    MOTthat's it .
  7. eng_british_Manchester_II/ruth09a.cha, line 1427 · Ruth, 2;2.07
    MOTRuth .
    MOTwhat are you doing darling ?
    MOT*MOT: you knocked me off my chair .
    MOTlisten .
    MOTwhat're you like ?

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_II3.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth09a.chaRuth 2;2.072,088773.35

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. off7 · 100.0%