PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

8.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (408 utterances, 1,397 words searched).

  1. well . MOT · eng_british_Manchester_I/becky32b.cha, line 110 · Becky 2;11
  2. well . MOT · eng_british_Manchester_I/becky32b.cha, line 191 · Becky 2;11
  3. well . MOT · eng_british_Manchester_I/becky32b.cha, line 276 · Becky 2;11
  4. are your eyes a bit sore as well ? MOT · eng_british_Manchester_I/becky32b.cha, line 300 · Becky 2;11
  5. well . MOT · eng_british_Manchester_I/becky32b.cha, line 314 · Becky 2;11
  6. well . MOT · eng_british_Manchester_I/becky32b.cha, line 505 · Becky 2;11
  7. she's not doing very well , is she ? MOT · eng_british_Manchester_I/becky32b.cha, line 712 · Becky 2;11
  8. oh well . MOT · eng_british_Manchester_I/becky32b.cha, line 740 · Becky 2;11
  9. well . MOT · eng_british_Manchester_I/becky32b.cha, line 952 · Becky 2;11
  10. well . MOT · eng_british_Manchester_I/becky32b.cha, line 970 · Becky 2;11
  11. well done . MOT · eng_british_Manchester_I/becky32b.cha, line 1097 · Becky 2;11
  12. well . MOT · eng_british_Manchester_I/becky32b.cha, line 1333 · Becky 2;11
  1. MOTcount them properly .
    CHIone two three four five .
    MOT*MOT: well .
    MOTthere's four , aren't there ?
    MOTone .
  2. MOTpardon ?
    CHIxxx gooses .
    MOT*MOT: well .
    MOTgo on then .
    MOTcount how many gooses there are .
  3. MOTone .
    CHItwo .
    MOT*MOT: well .
    MOTlook at them .
    MOTone two three four .
  4. MOTare you okay ?
    CHIyes .
    MOT*MOT: are your eyes a bit sore as well ?
    CHIyes .
    CHIMum .
  5. MOTuhhum .
    CHII 0am [*] just gonna [: going to] wipe my nose .
    MOT*MOT: well .
    MOTI'll wipe your eyes if you want , Becky .
    MOTlet's have a look .
  6. CHIyeah .
    CHIwhich way are [*] they go ?
    MOT*MOT: well .
    MOTI think that's right .
    CHIthat's right .
  7. CHIwe 0have [*] gotta put a +//.
    CHIcome on .
    MOT*MOT: she's not doing very well , is she ?
    CHIno .
    CHIshe has to stay on the toilet .
  8. MOToh .
    MOTis she ?
    MOT*MOT: oh well .
    MOTshe does need them all off then , doesn't she ?
    CHIbut xxx wash them .
  9. MOToh right .
    MOToh .
    MOT*MOT: well .
    MOTthat explains it then .
    CHIno .
  10. MOTmmhm .
    MOTI know .
    MOT*MOT: well .
    MOTsome of them just fall down .
    CHIwhy ?
  11. MOToh right .
    CHIis it +//.
    MOT*MOT: well done .
    CHIdo you want to do it now ?
    MOTI don't think so .
  12. CHIjust dry it .
    MOTyes .
    MOT*MOT: well .
    MOTwe'll have to go and wash it , willn't we now ?
    MOTwww .

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_I8.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32b.chaBecky 2;11.011,39712128.59

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. well12 · 100.0%