PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (560 utterances, 2,094 words searched).

  1. can mummy have some ? MOT · eng_british_Manchester_II/ruth01b.cha, line 69 · Ruth 1;11
  2. mummy'd like some cake . MOT · eng_british_Manchester_II/ruth01b.cha, line 117 · Ruth 1;11
  3. can mummy have some ? MOT · eng_british_Manchester_II/ruth01b.cha, line 121 · Ruth 1;11
  4. shall we put some clothes on her ? MOT · eng_british_Manchester_II/ruth01b.cha, line 237 · Ruth 1;11
  5. there's some milk here for the baba . MOT · eng_british_Manchester_II/ruth01b.cha, line 694 · Ruth 1;11
  6. I think you're getting some new teeth , aren't you ? MOT · eng_british_Manchester_II/ruth01b.cha, line 1512 · Ruth 1;11
  7. I think you're getting some new teeth . MOT · eng_british_Manchester_II/ruth01b.cha, line 1517 · Ruth 1;11
  8. some new teeth . MOT · eng_british_Manchester_II/ruth01b.cha, line 1522 · Ruth 1;11
  1. CHImmhm .
    MOTis it ?
    MOT*MOT: can mummy have some ?
    MOTthank you .
    CHIsome more .
  2. MOTit's only jut pretend .
    MOTit's not real .
    MOT*MOT: mummy'd like some cake .
    CHIon there .
    MOTcan mummy have some ?
  3. MOTmummy'd like some cake .
    CHIon there .
    MOT*MOT: can mummy have some ?
    MOTis that hot ?
    MOTis it ?
  4. MOTshe's lovely , isn't she ?
    CHIaah .
    MOT*MOT: shall we put some clothes on her ?
    CHIno .
    MOTno .
  5. MOTwhere're you going ?
    MOTRuth .
    MOT*MOT: there's some milk here for the baba .
    MOTis she hungry ?
    CHIhuh ?
  6. CHImama .
    MOTwhat darling ?
    MOT*MOT: I think you're getting some new teeth , aren't you ?
    CHIhuh ?
    MOTI think you're getting some new teeth .
  7. MOTI think you're getting some new teeth , aren't you ?
    CHIhuh ?
    MOT*MOT: I think you're getting some new teeth .
    MOTaren't you ?
    MOTsome new teeth .
  8. MOTI think you're getting some new teeth .
    MOTaren't you ?
    MOT*MOT: some new teeth .
    MOTwhere's your teeth ?
    MOToh dear .

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_II3.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth01b.chaRuth 1;11.152,094883.82

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. some8 · 100.0%