PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (531 utterances, 1,838 words searched).

  1. look at these and you have to match them up . MOT · eng_british_Manchester_II/nic33b.cha, line 758 · Nicole 3;00
  2. you can keep these . INV · eng_british_Manchester_II/nic33b.cha, line 1108 · Nicole 3;00
  3. these are for you . MOT · eng_british_Manchester_II/nic33b.cha, line 1110 · Nicole 3;00
  4. these are . MOT · eng_british_Manchester_II/nic33b.cha, line 1112 · Nicole 3;00
  5. be careful because these can go on your bed+room wall . MOT · eng_british_Manchester_II/nic33b.cha, line 1173 · Nicole 3;00
  6. what fruit are these [//] this , Nicole ? MOT · eng_british_Manchester_II/nic33b.cha, line 1239 · Nicole 3;00
  7. these ought to go in actually . MOT · eng_british_Manchester_II/nic33b.cha, line 1575 · Nicole 3;00
  8. let's put these in , shall we ? MOT · eng_british_Manchester_II/nic33b.cha, line 1577 · Nicole 3;00
  1. MOTlook .
    MOTlook .
    MOT*MOT: look at these and you have to match them up .
    CHIyeah .
    MOTso you're looking for the +//.
  2. CHIyou take that home ?
    INVno .
    INV*INV: you can keep these .
    MOTthese are for you .
    MOTthese are .
  3. INVno .
    INVyou can keep these .
    MOT*MOT: these are for you .
    MOTthese are .
    CHIoh .
  4. INVyou can keep these .
    MOTthese are for you .
    MOT*MOT: these are .
    CHIoh .
    MOTa cloud .
  5. CHIum Nicole like that .
    MOToh .
    MOT*MOT: be careful because these can go on your bed+room wall .
    CHIwhy ?
    MOTbecause they're wall charts .
  6. MOTand what fruit's that ?
    CHIeat it .
    MOT*MOT: what fruit are these [//] this , Nicole ?
    MOTwhat fruit is it ?
    INVxxx .
  7. MOTput those in first .
    MOToh .
    MOT*MOT: these ought to go in actually .
    MOTlet's put these in , shall we ?
    CHIwhy ?
  8. MOToh .
    MOTthese ought to go in actually .
    MOT*MOT: let's put these in , shall we ?
    CHIwhy ?
    MOTbecause then we know where they are and they're safe .

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. Nicole eng_british_Manchester_II4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic33b.chaNicole 3;0.031,838884.35

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. these8 · 100.0%