PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 2,138 words searched).

  1. who was on your head ? MOT · eng_british_Manchester_II/warr03a.cha, line 554 · Warren 1;10
  2. who was on your head ? MOT · eng_british_Manchester_II/warr03a.cha, line 615 · Warren 1;10
  3. if it was flat . MOT · eng_british_Manchester_II/warr03a.cha, line 666 · Warren 1;10
  4. what was that ? MOT · eng_british_Manchester_II/warr03a.cha, line 1111 · Warren 1;10
  5. was that your beep+beep ? MOT · eng_british_Manchester_II/warr03a.cha, line 1113 · Warren 1;10
  6. what was that noise ? MOT · eng_british_Manchester_II/warr03a.cha, line 1119 · Warren 1;10
  7. was it a crocodile ? MOT · eng_british_Manchester_II/warr03a.cha, line 1235 · Warren 1;10
  8. that was a good throw . MOT · eng_british_Manchester_II/warr03a.cha, line 1485 · Warren 1;10
  1. MOTand your cheek .
    MOTand now he's standing on your head .
    MOT*MOT: who was on your head ?
    MOTwhoops .
    CHIoh dear .
  2. MOTput the cow on Warren's head .
    MOTwho's on your head ?
    MOT*MOT: who was on your head ?
    MOTit's the cow .
    CHIMummy .
  3. CHIthere .
    MOTyou could put a block on the trailer .
    MOT*MOT: if it was flat .
    MOTshall we make a tower on the trailer ?
    MOTtwo three .
  4. MOTthere's a blue one right over there by the box .
    MOToh: .
    MOT*MOT: what was that ?
    MOTwas that your beep+beep ?
    INVoh .
  5. MOToh: .
    MOTwhat was that ?
    MOT*MOT: was that your beep+beep ?
    INVoh .
    MOTwhat is it , Warren ?
  6. INVoh .
    MOTwhat is it , Warren ?
    MOT*MOT: what was that noise ?
    CHIa beep+beep .
    MOTyes .
  7. MOTyou'll grow up with some great hang up about your nose being snapped off by crocodiles .
    MOTwho snapped your nose off ?
    MOT*MOT: was it a crocodile ?
    MOToh no .
    MOTdon't jump on Mummy .
  8. MOTit hit the car on the mobile .
    MOTwhere did it go ?
    MOT*MOT: that was a good throw .
    MOToh: .
    CHIin the xxx .

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. Warren eng_british_Manchester_II3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr03a.chaWarren 1;10.292,138883.74

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. was8 · 100.0%