PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. what else is different ? MOT · eng_british_Manchester_I/becky31a.cha, line 188 · Becky 2;10
  2. is there anything else that's different ? MOT · eng_british_Manchester_I/becky31a.cha, line 196 · Becky 2;10
  3. what else ? MOT · eng_british_Manchester_I/becky31a.cha, line 304 · Becky 2;10
  4. just see what else there is . MOT · eng_british_Manchester_I/becky31a.cha, line 325 · Becky 2;10
  5. let's find out what else there is . MOT · eng_british_Manchester_I/becky31a.cha, line 461 · Becky 2;10
  1. CHIone .
    MOTthat's right .
    MOT*MOT: what else is different ?
    CHIthis .
    MOTI think that is .
  2. MOTI think that is .
    MOTyes .
    MOT*MOT: is there anything else that's different ?
    CHIthat's different .
    MOTit is .
  3. MOTgood .
    MOTright .
    MOT*MOT: what else ?
    CHIum +...
    CHI<I done> [/] I 0have [*] done him , didn't [*] I ?
  4. MOToh dear .
    MOTthat's coloring .
    MOT*MOT: just see what else there is .
    CHIdinosaur .
    MOTyou've done him already , haven't you ?
  5. MOTthere .
    CHIno .
    MOT*MOT: let's find out what else there is .
    MOTwhat are they doing in this picture ?
    MOTdo you know ?

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_I3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky31a.chaBecky 2;10.251,418553.53

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. else5 · 100.0%