PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (361 utterances, 1,546 words searched).

  1. wanna read the story about the babies ? MOT · eng_USA_Brown/sarah031.cha, line 388 · Sarah 2;09
  2. wanna read the other book now # hmm # or shall we feed the baby ? MOT · eng_USA_Brown/sarah031.cha, line 661 · Sarah 2;09
  3. wanna read a book ? MOT · eng_USA_Brown/sarah031.cha, line 667 · Sarah 2;09
  4. yeah # wanna buy a great big one ? MOT · eng_USA_Brown/sarah031.cha, line 917 · Sarah 2;09
  5. wanna do that ? MOT · eng_USA_Brown/sarah031.cha, line 962 · Sarah 2;09
  1. eng_USA_Brown/sarah031.cha, line 388 · Sarah, 2;9.29
    MOT# xxx .
    MOTlet's put your cookies up here and we can read a story .
    MOT*MOT: wanna read the story about the babies ?
    CHIelephant .
    MOTan elephant # yeah .
  2. eng_USA_Brown/sarah031.cha, line 661 · Sarah, 2;9.29
    CHIwhat's that ?
    MOToh # they're all being cuddled and loved .
    MOT*MOT: wanna read the other book now # hmm # or shall we feed the baby ?
    CHIwe [?] read book .
    MOTwanna read a book ?
  3. eng_USA_Brown/sarah031.cha, line 667 · Sarah, 2;9.29
    MOTwanna read the other book now # hmm # or shall we feed the baby ?
    CHIwe [?] read book .
    MOT*MOT: wanna read a book ?
    CHI0 .
    COUcan she feed the baby ?
  4. eng_USA_Brown/sarah031.cha, line 917 · Sarah, 2;9.29
    MOThuh ?
    CHIxxx big one # (o)k ?
    MOT*MOT: yeah # wanna buy a great big one ?
    CHI<I want> [/] # I want buy two thems [*] [: them] .
    MOTtwo of them ?
  5. eng_USA_Brown/sarah031.cha, line 962 · Sarah, 2;9.29
    MOTno # put records on later .
    MOTwhat about reading your abc book .
    MOT*MOT: wanna do that ?
    CHI0 .
    MOT(be)cause # you don't want to feed your baby do you .

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. Sarah eng_USA_Brown3.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah031.chaSarah 2;9.291,546553.23

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. wanna5 · 100.0%