PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. you've got two eyes . MOT · eng_british_Manchester_I/becky21a.cha, line 33 · Becky 2;07
  2. you've got the other one . MOT · eng_british_Manchester_I/becky21a.cha, line 171 · Becky 2;07
  3. you've got loads of hair , have you ? MOT · eng_british_Manchester_I/becky21a.cha, line 221 · Becky 2;07
  4. you've nearly finished them I think . MOT · eng_british_Manchester_I/becky21a.cha, line 1183 · Becky 2;07
  1. eng_british_Manchester_I/becky21a.cha, line 33 · Becky, 2;7.02
    CHIxxx .
    MOTyes .
    MOT*MOT: you've got two eyes .
    MOTyes .
    CHIoh .
  2. eng_british_Manchester_I/becky21a.cha, line 171 · Becky, 2;7.02
    MOTwe've only got one ear .
    MOToh .
    MOT*MOT: you've got the other one .
    CHIthere was one .
    CHIand +...
  3. eng_british_Manchester_I/becky21a.cha, line 221 · Becky, 2;7.02
    CHIloads of hair .
    CHIand I 0have [*] got loads of hair .
    MOT*MOT: you've got loads of hair , have you ?
    CHIyeah .
    MOTwhere ?
  4. eng_british_Manchester_I/becky21a.cha, line 1183 · Becky, 2;7.02
    CHIthere .
    CHIwhat's next ?
    MOT*MOT: you've nearly finished them I think .
    MOTis there one left ?
    MOTwho's left ?

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_I3.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky21a.chaBecky 2;7.021,290443.10

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. you've4 · 100.0%