PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,158 words searched).

  1. well . MOT · eng_british_Manchester_I/becky32a.cha, line 296 · Becky 2;11
  2. well . MOT · eng_british_Manchester_I/becky32a.cha, line 366 · Becky 2;11
  3. um well . MOT · eng_british_Manchester_I/becky32a.cha, line 404 · Becky 2;11
  4. well . MOT · eng_british_Manchester_I/becky32a.cha, line 438 · Becky 2;11
  5. well . MOT · eng_british_Manchester_I/becky32a.cha, line 612 · Becky 2;11
  6. well . MOT · eng_british_Manchester_I/becky32a.cha, line 1077 · Becky 2;11
  7. well . MOT · eng_british_Manchester_I/becky32a.cha, line 1145 · Becky 2;11
  8. you've got your bunny there as well . MOT · eng_british_Manchester_I/becky32a.cha, line 1343 · Becky 2;11
  1. CHISukie's just here .
    CHIwhy ?
    MOT*MOT: well .
    MOTSukie's been asleep upstairs .
    MOThe's just got up .
  2. MOTyeah .
    CHIxxx .
    MOT*MOT: well .
    MOTwe need to make a bridge , don't we to put that on .
    CHIyeah .
  3. CHIand then it can go over .
    CHIand why ?
    MOT*MOT: um well .
    MOTwhat you need to do with this bit +...
    MOTno .
  4. CHIyes .
    CHIam I come down to circle now ?
    MOT*MOT: well .
    MOTit's not quite finished yet .
    MOTthere +...
  5. MOTwhoops .
    MOTyes .
    MOT*MOT: well .
    MOTthere we are .
    CHIgo there .
  6. CHIxxx .
    CHIbut [/] but why have you got +//.
    MOT*MOT: well .
    MOTit doesn't work , Becky .
    MOTthat's why you have the paper [/] paper ones .
  7. MOTno .
    MOTalright .
    MOT*MOT: well .
    MOTI haven't got it so I can't do anything about it I'm afraid .
    CHIyes .
  8. CHII xxx .
    CHIwe [/] we can xxx .
    MOT*MOT: you've got your bunny there as well .
    CHIwhat ?
    MOTyou've got bunny there .

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_I6.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32a.chaBecky 2;11.011,158886.91

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%