PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. do you think Bugs and Millisandy would like to talk ? KEN · eng_USA_Brown/sarah058.cha, line 504 · Sarah 3;04
  2. Sarah # why won't Millisandy talk to me ? KEN · eng_USA_Brown/sarah058.cha, line 616 · Sarah 3;04
  3. Sarah # whyn't [: why don't] ya let Millisandy talk ? MOT · eng_USA_Brown/sarah058.cha, line 621 · Sarah 3;04
  4. even though Millisandy can't talk # can you guess what he's thinking ? KEN · eng_USA_Brown/sarah058.cha, line 668 · Sarah 3;04
  5. can you talk to Bugs ? KEN · eng_USA_Brown/sarah058.cha, line 692 · Sarah 3;04
  6. oh # but can you talk to Bugs ? KEN · eng_USA_Brown/sarah058.cha, line 704 · Sarah 3;04
  1. CHII wonder # xxx where you at .
    CHIoh +...
    KEN*KEN: do you think Bugs and Millisandy would like to talk ?
    CHIyeah .
    CHII ho(ld) +...
  2. KENwhat # Bugs ?
    KENoh .
    KEN*KEN: Sarah # why won't Millisandy talk to me ?
    KENgood morning # Millisandy .
    MOTSarah # whyn't [: why don't] ya let Millisandy talk ?
  3. KENSarah # why won't Millisandy talk to me ?
    KENgood morning # Millisandy .
    MOT*MOT: Sarah # whyn't [: why don't] ya let Millisandy talk ?
    CHIhe don't talk .
    MOTwhy ?
  4. MOTlie down and go to sleep .
    CHIhe goin(g) take a nap .
    KEN*KEN: even though Millisandy can't talk # can you guess what he's thinking ?
    CHIwhat ?
    KENwhat do you think he's thinking ?
  5. MOTc(o)me (h)ere .
    MOTnow get in bed .
    KEN*KEN: can you talk to Bugs ?
    MOTget in bed .
    KENcan you speak Bugs' kind of language ?
  6. MOTget in the bed .
    CHIshe got a string .
    KEN*KEN: oh # but can you talk to Bugs ?
    KENwhat sort of stories do you tell Bugs when he goes to sleep ?
    CHI<he go> [//] # you get ta to sleep .

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_Brown3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986663.02

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. talk6 · 100.0%