PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. +, you've got to count how many of these other roses . MOT · eng_british_Manchester_I/becky34a.cha, line 175 · Becky 2;11
  2. you've got to count how many roses there are . MOT · eng_british_Manchester_I/becky34a.cha, line 178 · Becky 2;11
  3. can you count the blue flowers ? MOT · eng_british_Manchester_I/becky34a.cha, line 208 · Becky 2;11
  4. count properly , Becky . MOT · eng_british_Manchester_I/becky34a.cha, line 253 · Becky 2;11
  1. MOTwhat you've got to do is +...
    CHIyeah .
    MOT*MOT: +, you've got to count how many of these other roses .
    MOTyou've got to count how many roses there are .
    MOTso can you use your finger ?
  2. CHIyeah .
    MOT+, you've got to count how many of these other roses .
    MOT*MOT: you've got to count how many roses there are .
    MOTso can you use your finger ?
    CHIone .
  3. MOTnow then .
    MOThow many violets ?
    MOT*MOT: can you count the blue flowers ?
    MOTuse your finger .
    CHIone two .
  4. CHIone .
    MOTno .
    MOT*MOT: count properly , Becky .
    MOTcome on .
    CHIone .

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_I2.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky34a.chaBecky 2;11.151,619442.47

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. count4 · 100.0%