PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (451 utterances, 1,619 words searched).

  1. use purple . MOT · eng_british_Manchester_I/becky34a.cha, line 134 · Becky 2;11
  2. do you want to use that one ? MOT · eng_british_Manchester_I/becky34a.cha, line 144 · Becky 2;11
  3. use that one ? MOT · eng_british_Manchester_I/becky34a.cha, line 148 · Becky 2;11
  4. so can you use your finger ? MOT · eng_british_Manchester_I/becky34a.cha, line 181 · Becky 2;11
  5. use your finger . MOT · eng_british_Manchester_I/becky34a.cha, line 187 · Becky 2;11
  6. use your finger . MOT · eng_british_Manchester_I/becky34a.cha, line 210 · Becky 2;11
  1. eng_british_Manchester_I/becky34a.cha, line 134 · Becky, 2;11.15
    MOTwe haven't got blue .
    MOTwhat about purple ?
    MOT*MOT: use purple .
    CHIwe have got blue .
    MOTwell .
  2. eng_british_Manchester_I/becky34a.cha, line 144 · Becky, 2;11.15
    MOTwe've got that one .
    MOTit doesn't work very well .
    MOT*MOT: do you want to use that one ?
    CHImmhm .
    MOTuse that one ?
  3. eng_british_Manchester_I/becky34a.cha, line 148 · Becky, 2;11.15
    MOTdo you want to use that one ?
    CHImmhm .
    MOT*MOT: use that one ?
    CHIyeah .
    CHIokay ?
  4. eng_british_Manchester_I/becky34a.cha, line 181 · Becky, 2;11.15
    MOT+, you've got to count how many of these other roses .
    MOTyou've got to count how many roses there are .
    MOT*MOT: so can you use your finger ?
    CHIone .
    MOTcome on .
  5. eng_british_Manchester_I/becky34a.cha, line 187 · Becky, 2;11.15
    CHIone .
    MOTcome on .
    MOT*MOT: use your finger .
    MOTstart from one .
    CHIone two three four .
  6. eng_british_Manchester_I/becky34a.cha, line 210 · Becky, 2;11.15
    MOThow many violets ?
    MOTcan you count the blue flowers ?
    MOT*MOT: use your finger .
    CHIone two .
    CHIthese are not blue .

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_I3.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky34a.chaBecky 2;11.151,619663.71

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. use6 · 100.0%