PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (410 utterances, 1,418 words searched).

  1. so show me what's different ? MOT · eng_british_Manchester_I/becky31a.cha, line 160 · Becky 2;10
  2. so . MOT · eng_british_Manchester_I/becky31a.cha, line 756 · Becky 2;10
  3. so what do I do first ? MOT · eng_british_Manchester_I/becky31a.cha, line 772 · Becky 2;10
  4. so +... MOT · eng_british_Manchester_I/becky31a.cha, line 822 · Becky 2;10
  5. so what do you say ? MOT · eng_british_Manchester_I/becky31a.cha, line 877 · Becky 2;10
  6. so +... MOT · eng_british_Manchester_I/becky31a.cha, line 951 · Becky 2;10
  7. so you can't see what's coming . MOT · eng_british_Manchester_I/becky31a.cha, line 1069 · Becky 2;10
  8. so what do we say ? MOT · eng_british_Manchester_I/becky31a.cha, line 1213 · Becky 2;10
  1. CHII was going +/.
    MOTyou have to say can you see three things that are different in the bottom picture ?
    MOT*MOT: so show me what's different ?
    CHIthat's different .
    MOTwell .
  2. MOTthey're all upsidedown .
    MOTI thought I'd just turn them the right way round .
    MOT*MOT: so .
    MOTcome on .
    MOTtell me how you play .
  3. MOTyes .
    MOTI'm going to shuffle them now .
    MOT*MOT: so what do I do first ?
    MOTI shuffle them , do I ?
    CHIyeah .
  4. MOTlike that .
    CHIyeah .
    MOT*MOT: so +...
    CHIFireman_sam .
    MOTthat's not Fireman_sam .
  5. CHITessy_Bear .
    CHITessy_Bear again .
    MOT*MOT: so what do you say ?
    CHIsnap .
    MOTgo on then .
  6. MOToh .
    CHIwobbly man as well .
    MOT*MOT: so +...
    MOTtwo wobbly men .
    MOTBecky .
  7. CHIwhich ?
    MOTsupposed to have them that way , aren't you ?
    MOT*MOT: so you can't see what's coming .
    CHIwhat ?
    MOTgo on .
  8. MOTand who's this ?
    CHIskittles .
    MOT*MOT: so what do we say ?
    CHIsnap .
    MOTgo on then .

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_I5.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky31a.chaBecky 2;10.251,418885.64

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. so8 · 100.0%