PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (649 utterances, 2,464 words searched).

  1. how do penguins walk ? MOT · eng_british_Manchester_II/ruth01a.cha, line 159 · Ruth 1;11
  2. how does he fly ? MOT · eng_british_Manchester_II/ruth01a.cha, line 245 · Ruth 1;11
  3. how does he fly ? MOT · eng_british_Manchester_II/ruth01a.cha, line 249 · Ruth 1;11
  4. how did you fly ? MOT · eng_british_Manchester_II/ruth01a.cha, line 267 · Ruth 1;11
  5. how does he sleep ? MOT · eng_british_Manchester_II/ruth01a.cha, line 301 · Ruth 1;11
  6. how did she cry ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1182 · Ruth 1;11
  7. <he's> [//] how is carrying that ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1475 · Ruth 1;11
  8. how's he carrying that ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1477 · Ruth 1;11
  9. how many are there ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1520 · Ruth 1;11
  10. just count how many there are . MOT · eng_british_Manchester_II/ruth01a.cha, line 1526 · Ruth 1;11
  1. CHIdown there .
    MOThe is .
    MOT*MOT: how do penguins walk ?
    MOTdo they walk like this ?
    CHImmhm .
  2. CHIyeah .
    MOTdoes he ?
    MOT*MOT: how does he fly ?
    CHIhuh ?
    MOThow does he fly ?
  3. MOThow does he fly ?
    CHIhuh ?
    MOT*MOT: how does he fly ?
    CHIup there .
    MOTup there like this ?
  4. CHImmhm .
    MOThave you ?
    MOT*MOT: how did you fly ?
    MOTRuth .
    MOTwhat're you doing ?
  5. MOTis he going to go to sleep ?
    CHImmhm .
    MOT*MOT: how does he sleep ?
    CHIoh .
    MOToh .
  6. CHIyeah .
    MOTdid she ?
    MOT*MOT: how did she cry ?
    CHIthere .
    MOToh .
  7. MOTand water .
    MOToh look .
    MOT*MOT: <he's> [//] how is carrying that ?
    MOThow's he carrying that ?
    MOThe's carrying it on his # head .
  8. MOToh look .
    MOT<he's> [//] how is carrying that ?
    MOT*MOT: how's he carrying that ?
    MOThe's carrying it on his # head .
    CHImmhm .
  9. MOTright .
    MOTcan you count them ?
    MOT*MOT: how many are there ?
    CHIno .
    MOTyou could try .
  10. CHIno .
    MOTyou could try .
    MOT*MOT: just count how many there are .
    MOTyou count .
    CHIMama .

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_II4.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth01a.chaRuth 1;11.152,46410104.06

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. how10 · 100.0%