PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (583 utterances, 1,795 words searched).

  1. we'll have to take her panties off then , will we ? MOT · eng_british_Manchester_II/ruth09b.cha, line 57 · Ruth 2;02
  2. oh have you got another baba ? MOT · eng_british_Manchester_II/ruth09b.cha, line 535 · Ruth 2;02
  3. can I have a drink please ? MOT · eng_british_Manchester_II/ruth09b.cha, line 863 · Ruth 2;02
  4. I still have to sleep . MOT · eng_british_Manchester_II/ruth09b.cha, line 1106 · Ruth 2;02
  5. have you ? MOT · eng_british_Manchester_II/ruth09b.cha, line 1374 · Ruth 2;02
  6. have you got the soap ? INV · eng_british_Manchester_II/ruth09b.cha, line 1477 · Ruth 2;02
  7. have to do it gently . MOT · eng_british_Manchester_II/ruth09b.cha, line 1589 · Ruth 2;02
  8. let her have a kiss . MOT · eng_british_Manchester_II/ruth09b.cha, line 1674 · Ruth 2;02
  1. CHImmhm .
    MOToh dear .
    MOT*MOT: we'll have to take her panties off then , will we ?
    MOTto clean her up .
    CHIyeah .
  2. CHIxxx sleep .
    MOTwww .
    MOT*MOT: oh have you got another baba ?
    CHImmhm .
    MOTwhat did you say ?
  3. MOToh dear .
    MOToh dear .
    MOT*MOT: can I have a drink please ?
    CHIno .
    MOTexcuse me .
  4. MOTI think we might even xxx .
    CHIsleep on there .
    MOT*MOT: I still have to sleep .
    CHIon there .
    CHIsleep there .
  5. MOTare you dirty now ?
    CHIme 0 [=! fish impression] in there .
    MOT*MOT: have you ?
    CHIme on there .
    MOTright .
  6. INVokay .
    INVshall I wash my hands ?
    INV*INV: have you got the soap ?
    CHImmhm .
    INVthank you .
  7. MOTyou've got to find it .
    MOTxxx sit up there .
    MOT*MOT: have to do it gently .
    MOTthere you go .
    MOTwho's that ?
  8. MOTthere .
    MOTgive her a kiss .
    MOT*MOT: let her have a kiss .
    MOT<the baba> [//] was baba crying because she missed her Mummy ?
    CHImmhm .

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_II4.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth09b.chaRuth 2;2.071,795884.46

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. have8 · 100.0%