PHPCLANCHILDES with regular expressions

8 matches in 6 utterances

6.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,276 words searched).

  1. let's put this on then , shall we ? MOT · eng_british_Manchester_I/becky28b.cha, line 229 · Becky 2;09
  2. we must have a very clever cat if he can cross his fingers . MOT · eng_british_Manchester_I/becky28b.cha, line 641 · Becky 2;09
  3. I don't think we need to read a story just at the moment , do we, Becky ? MOT · eng_british_Manchester_I/becky28b.cha, line 1467 · Becky 2;09
  4. I don't think we need to read a story just at the moment , do we, Becky ? MOT · eng_british_Manchester_I/becky28b.cha, line 1467 · Becky 2;09
  5. we'll leave that later . MOT · eng_british_Manchester_I/becky28b.cha, line 1494 · Becky 2;09
  6. we play with these then ? MOT · eng_british_Manchester_I/becky28b.cha, line 1502 · Becky 2;09
  7. we should really have a little man driving , shouldn't we ? MOT · eng_british_Manchester_I/becky28b.cha, line 1658 · Becky 2;09
  8. we should really have a little man driving , shouldn't we ? MOT · eng_british_Manchester_I/becky28b.cha, line 1658 · Becky 2;09
  1. CHIxxx .
    CHIand I did have it .
    MOT*MOT: let's put this on then , shall we ?
    CHIquack@o .
    CHIxxx snowing .
  2. MOTit was from Sukie , was it ?
    MOTright .
    MOT*MOT: we must have a very clever cat if he can cross his fingers .
    CHImmhm .
    CHIshush .
  3. CHIyeah .
    CHII want to read it .
    MOT*MOT: I don't think we need to read a story just at the moment , do we, Becky ?
    INVyou haven't played with the Duplo .
    CHIwhat ?
  4. MOTalright .
    CHIwhat have +/.
    MOT*MOT: we'll leave that later .
    CHIxxx .
    CHIanother day .
  5. CHIanother day .
    CHICaroline xxx .
    MOT*MOT: we play with these then ?
    CHIyes .
    CHIwhat I do ?
  6. CHII want some xxx .
    CHIxxx .
    MOT*MOT: we should really have a little man driving , shouldn't we ?
    MOTnot the monkey .
    MOTxxx .

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_I6.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky28b.chaBecky 2;9.131,276686.27

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. we8 · 100.0%