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. okay . MOT · eng_british_Manchester_I/becky21a.cha, line 383 · Becky 2;07
  2. okay ? MOT · eng_british_Manchester_I/becky21a.cha, line 873 · Becky 2;07
  3. okay ? MOT · eng_british_Manchester_I/becky21a.cha, line 983 · Becky 2;07
  4. are you okay , Becky ? MOT · eng_british_Manchester_I/becky21a.cha, line 1411 · Becky 2;07
  1. eng_british_Manchester_I/becky21a.cha, line 383 · Becky, 2;7.02
    CHIhow about um pink nose .
    MOTpink nose .
    MOT*MOT: okay .
    CHIwhere 0has [*] pink nose on .
    MOTwhere's the pink nose gone ?
  2. eng_british_Manchester_I/becky21a.cha, line 873 · Becky, 2;7.02
    MOTcolor the bunny's flower .
    CHIthere .
    MOT*MOT: okay ?
    CHIa goose .
    MOTa ghost ?
  3. eng_british_Manchester_I/becky21a.cha, line 983 · Becky, 2;7.02
    CHIwhere's more green ?
    CHIthere .
    MOT*MOT: okay ?
    CHIthere we are .
    MOTwhat's the next one then ?
  4. eng_british_Manchester_I/becky21a.cha, line 1411 · Becky, 2;7.02
    MOTwe'll just put them all together and put them back in the book .
    MOTlike this , look .
    MOT*MOT: are you okay , Becky ?
    MOTlike that .
    CHIyes .

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. okay4 · 100.0%