PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.09 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. how many violets ? MOT · eng_british_Manchester_I/becky34a.cha, line 206 · Becky 2;11
  4. how many ? MOT · eng_british_Manchester_I/becky34a.cha, line 241 · Becky 2;11
  5. how many did we [/] we get to ? MOT · eng_british_Manchester_I/becky34a.cha, line 245 · Becky 2;11
  1. eng_british_Manchester_I/becky34a.cha, line 175 · Becky, 2;11.15
    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. eng_british_Manchester_I/becky34a.cha, line 178 · Becky, 2;11.15
    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. eng_british_Manchester_I/becky34a.cha, line 206 · Becky, 2;11.15
    MOTyeah ?
    MOTnow then .
    MOT*MOT: how many violets ?
    MOTcan you count the blue flowers ?
    MOTuse your finger .
  4. eng_british_Manchester_I/becky34a.cha, line 241 · Becky, 2;11.15
    MOTproperly .
    CHIone two three four five six .
    MOT*MOT: how many ?
    CHIone .
    MOThow many did we [/] we get to ?
  5. eng_british_Manchester_I/becky34a.cha, line 245 · Becky, 2;11.15
    MOThow many ?
    CHIone .
    MOT*MOT: how many did we [/] we get to ?
    MOTstart again .
    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_I3.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky34a.chaBecky 2;11.151,619553.09

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. many5 · 100.0%