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. have you not got a red nose ? MOT · eng_british_Manchester_I/becky21a.cha, line 124 · Becky 2;07
  2. that's more like red , isn't it ? MOT · eng_british_Manchester_I/becky21a.cha, line 1077 · Becky 2;07
  3. red tail . MOT · eng_british_Manchester_I/becky21a.cha, line 1085 · Becky 2;07
  4. it is red . MOT · eng_british_Manchester_I/becky21a.cha, line 1514 · Becky 2;07
  1. eng_british_Manchester_I/becky21a.cha, line 124 · Becky, 2;7.02
    MOToh .
    MOTI'm sorry .
    MOT*MOT: have you not got a red nose ?
    CHIno .
    MOTwhat color is your nose ?
  2. eng_british_Manchester_I/becky21a.cha, line 1077 · Becky, 2;7.02
    CHIxxx .
    CHIthis is +...
    MOT*MOT: that's more like red , isn't it ?
    MOTnever mind .
    MOTthat'll do .
  3. eng_british_Manchester_I/becky21a.cha, line 1085 · Becky, 2;7.02
    MOTthat'll do .
    CHIthat one 0is [*] red .
    MOT*MOT: red tail .
    MOTyes .
    CHIred [x 2] .
  4. eng_british_Manchester_I/becky21a.cha, line 1514 · Becky, 2;7.02
    MOTyou don't know ?
    CHIit's red .
    MOT*MOT: it is red .
    MOTbut what's it called ?
    CHIring+maker .

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. red4 · 100.0%