PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

4.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (628 utterances, 2,108 words searched).

  1. toys . MOT · eng_british_Manchester_I/anne02a.cha, line 434 · Anne 1;10
  2. which toys ? MOT · eng_british_Manchester_I/anne02a.cha, line 442 · Anne 1;10
  3. pink toys . MOT · eng_british_Manchester_I/anne02a.cha, line 447 · Anne 1;10
  4. pink toys are like blue toys ,, aren't they, Anne ? MOT · eng_british_Manchester_I/anne02a.cha, line 455 · Anne 1;10
  5. pink toys are like blue toys ,, aren't they, Anne ? MOT · eng_british_Manchester_I/anne02a.cha, line 455 · Anne 1;10
  6. well if you play nicely with your toys I'll go and get them in a minute . INV · eng_british_Manchester_I/anne02a.cha, line 462 · Anne 1;10
  7. more toys later . MOT · eng_british_Manchester_I/anne02a.cha, line 701 · Anne 1;10
  8. shall we find some more toys ? MOT · eng_british_Manchester_I/anne02a.cha, line 1977 · Anne 1;10
  9. more toys . MOT · eng_british_Manchester_I/anne02a.cha, line 1987 · Anne 1;10
  1. MOTwhat else can we find ?
    CHItoy .
    MOT*MOT: toys .
    MOTshall we sit and do the puzzle ?
    CHIwant toys .
  2. CHIwant toys .
    MOTno ?
    MOT*MOT: which toys ?
    CHIblue [?] pink .
    MOTpink toys .
  3. MOTwhich toys ?
    CHIblue [?] pink .
    MOT*MOT: pink toys .
    CHIum # yeah .
    MOTwell later .
  4. MOTwell later .
    CHIlater .
    MOT*MOT: pink toys are like blue toys ,, aren't they, Anne ?
    MOTthey're new different +...
    MOT+, not the same .
  5. MOTthey're new different +...
    MOT+, not the same .
    INV*INV: well if you play nicely with your toys I'll go and get them in a minute .
    CHIyeah .
    CHIyeah .
  6. MOTlater .
    CHImore toys .
    MOT*MOT: more toys later .
    CHIwant more .
    MOTyes .
  7. CHIxxx baby .
    CHIxxx here .
    MOT*MOT: shall we find some more toys ?
    CHIyeah .
    MOTyeah .
  8. MOTlet's see what else we can find .
    CHImore toys .
    MOT*MOT: more toys .
    MOTyeah .
    MOTthere's lots xxx ,, haven't they ?

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_I4.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne02a.chaAnne 1;10.212,108894.27

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. toys9 · 100.0%