PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (308 utterances, 1,174 words searched).

  1. you've done it , have you ? MOT · eng_british_Manchester_I/becky30b.cha, line 75 · Becky 2;10
  2. you've done a face ? MOT · eng_british_Manchester_I/becky30b.cha, line 77 · Becky 2;10
  3. what you've done . MOT · eng_british_Manchester_I/becky30b.cha, line 106 · Becky 2;10
  4. I've just done some , Becky . MOT · eng_british_Manchester_I/becky30b.cha, line 1547 · Becky 2;10
  1. CHIlook .
    CHII 0have [*] done a face .
    MOT*MOT: you've done it , have you ?
    MOTyou've done a face ?
    MOTcan I have a look ?
  2. CHII 0have [*] done a face .
    MOTyou've done it , have you ?
    MOT*MOT: you've done a face ?
    MOTcan I have a look ?
    MOTpop these here .
  3. CHIxxx .
    MOTlet's have a look then .
    MOT*MOT: what you've done .
    MOTit's a face , is it ?
    CHIyeah .
  4. CHIoh .
    CHIyou do some then .
    MOT*MOT: I've just done some , Becky .
    CHIbut xxx .
    MOTfor goodness sake , Becky .

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_I3.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky30b.chaBecky 2;10.121,174443.41

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. done4 · 100.0%