PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

5.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (373 utterances, 1,413 words searched).

  1. I don't know any +//. INV · eng_british_Manchester_I/becky25b.cha, line 232 · Becky 2;08
  2. I haven't got any [/] any one I go and see with a dog . INV · eng_british_Manchester_I/becky25b.cha, line 234 · Becky 2;08
  3. I haven't got any [/] any one I go and see with a dog . INV · eng_british_Manchester_I/becky25b.cha, line 234 · Becky 2;08
  4. there aren't any more piggys . MOT · eng_british_Manchester_I/becky25b.cha, line 329 · Becky 2;08
  5. do I get any change ? MOT · eng_british_Manchester_I/becky25b.cha, line 1290 · Becky 2;08
  6. we'd better not get any milk today then . MOT · eng_british_Manchester_I/becky25b.cha, line 1349 · Becky 2;08
  7. because I can't see any . MOT · eng_british_Manchester_I/becky25b.cha, line 1360 · Becky 2;08
  8. we can't seem to find any milk today . MOT · eng_british_Manchester_I/becky25b.cha, line 1396 · Becky 2;08
  1. MOTbut not a cat .
    INVwell .
    INV*INV: I don't know any +//.
    INVI haven't got any [/] any one I go and see with a dog .
    MOTmmhm .
  2. INVwell .
    INVI don't know any +//.
    INV*INV: I haven't got any [/] any one I go and see with a dog .
    MOTmmhm .
    INVso .
  3. CHIwhere's another piggy ?
    MOTthere's only that one .
    MOT*MOT: there aren't any more piggys .
    MOTwe've got a piggy though .
    MOThaven't we ?
  4. MOThere you are .
    MOTtwenty pounds .
    MOT*MOT: do I get any change ?
    MOTno .
    INVobviously not .
  5. MOToh .
    MOToh .
    MOT*MOT: we'd better not get any milk today then .
    CHIno .
    MOTno .
  6. MOTno milk today .
    CHIwhy ?
    MOT*MOT: because I can't see any .
    MOTgot some cakes though .
    MOTdo you want a cake ?
  7. CHIwhere's lots of milk ?
    MOTwell .
    MOT*MOT: we can't seem to find any milk today .
    MOTI think they've sold out of milk .
    CHIxxx .

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. Becky eng_british_Manchester_I5.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky25b.chaBecky 2;8.161,413785.66

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. any8 · 100.0%