PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (384 utterances, 1,290 words searched).

  1. we'd better get some ears as well , hadn't we ? MOT · eng_british_Manchester_I/becky21a.cha, line 148 · Becky 2;07
  2. um well . MOT · eng_british_Manchester_I/becky21a.cha, line 245 · Becky 2;07
  3. you want that one as well , don't you ? MOT · eng_british_Manchester_I/becky21a.cha, line 348 · Becky 2;07
  4. well . MOT · eng_british_Manchester_I/becky21a.cha, line 567 · Becky 2;07
  5. well done . MOT · eng_british_Manchester_I/becky21a.cha, line 1158 · Becky 2;07
  6. I'm a lovely dovey@wp as well , am I ? MOT · eng_british_Manchester_I/becky21a.cha, line 1253 · Becky 2;07
  7. well . MOT · eng_british_Manchester_I/becky21a.cha, line 1389 · Becky 2;07
  8. well . MOT · eng_british_Manchester_I/becky21a.cha, line 1550 · Becky 2;07
  1. MOTdo you ?
    CHIyeah .
    MOT*MOT: we'd better get some ears as well , hadn't we ?
    MOTcan you see some ears ?
    CHIum ears .
  2. CHIyeah .
    CHInext .
    MOT*MOT: um well .
    MOTthat's it .
    CHIoh .
  3. MOThere it is , look .
    MOTthere .
    MOT*MOT: you want that one as well , don't you ?
    CHItwo eyes .
    CHIthere .
  4. CHIwhere's some teeth ?
    CHIhere they are .
    MOT*MOT: well .
    MOTyou don't want pink teeth , do you ?
    MOThmm ?
  5. CHIcan I do some more ?
    CHIthere .
    MOT*MOT: well done .
    CHIxxx .
    CHIwhat doing over there ?
  6. MOTyou're all lovey dovey@wp .
    CHIand you are all lovely dovey@wp .
    MOT*MOT: I'm a lovely dovey@wp as well , am I ?
    CHIyes .
    MOTgood .
  7. MOTyes .
    CHIwhere's some sticky tape .
    MOT*MOT: well .
    MOTI don't know whether we're gonna [: going to] put sticky tape on all these .
    MOTwe didn't realize there were so many pages coming out .
  8. CHIblack .
    MOTit's +//.
    MOT*MOT: well .
    MOTit looks a bit like black .
    MOTwhat color's the table ?

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_I6.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky21a.chaBecky 2;7.021,290886.20

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. well8 · 100.0%