PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 1,847 words searched).

  1. who's not very well ? MOT · eng_british_Manchester_I/anne15a.cha, line 224 · Anne 2;03
  2. not very well . MOT · eng_british_Manchester_I/anne15a.cha, line 252 · Anne 2;03
  3. lots of little cars as well , look and # train . MOT · eng_british_Manchester_I/anne15a.cha, line 419 · Anne 2;03
  4. well . MOT · eng_british_Manchester_I/anne15a.cha, line 539 · Anne 2;03
  5. well . MOT · eng_british_Manchester_I/anne15a.cha, line 1504 · Anne 2;03
  6. well . MOT · eng_british_Manchester_I/anne15a.cha, line 1555 · Anne 2;03
  7. well . MOT · eng_british_Manchester_I/anne15a.cha, line 1568 · Anne 2;03
  8. wrap baby up as well ? MOT · eng_british_Manchester_I/anne15a.cha, line 1693 · Anne 2;03
  1. MOTsit there , little teddy+bear .
    CHInot very well .
    MOT*MOT: who's not very well ?
    CHIthis teddy .
    MOToh dear .
  2. MOThe's been sick in the bucket ?
    MOToh dear .
    MOT*MOT: not very well .
    MOTpoor teddy .
    CHIwhere's your Mummy gone ?
  3. MOTfrying+pan .
    MOTthat one's got eggs and bacon in .
    MOT*MOT: lots of little cars as well , look and # train .
    MOToh .
    MOTwhat do you think this one is ?
  4. CHII want some more different ones .
    MOTyou want some more different ones ?
    MOT*MOT: well .
    MOTwhat can you see in there that's different ?
    MOTand we'll put that out the way because that's messy .
  5. MOTyes thank you .
    CHIdrinking all your tea up .
    MOT*MOT: well .
    MOTI think she's already drunk it up .
    MOTare you going to xxx +/.
  6. MOTare you going to get her one then ?
    CHII want a # real one .
    MOT*MOT: well .
    MOTyou can have a real one for your tea when it's tea+time .
    CHIit's tea+time .
  7. MOTit isn't tea+time .
    CHIwant some my dinner .
    MOT*MOT: well .
    MOTyou should have eaten it at dinnertime .
    CHIis it all gone ?
  8. CHIwrap this baby up first .
    MOToh .
    MOT*MOT: wrap baby up as well ?
    MOTthere we go .
    MOTthis is a present for 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. Anne eng_british_Manchester_I4.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne15a.chaAnne 2;3.011,847884.33

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. well8 · 100.0%