PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (512 utterances, 1,572 words searched).

  1. okay ? MOT · eng_british_Manchester_I/becky07b.cha, line 50 · Becky 2;02
  2. okay . INV · eng_british_Manchester_I/becky07b.cha, line 705 · Becky 2;02
  3. okay ? MOT · eng_british_Manchester_I/becky07b.cha, line 981 · Becky 2;02
  4. okay ? MOT · eng_british_Manchester_I/becky07b.cha, line 1006 · Becky 2;02
  5. am I okay ? MOT · eng_british_Manchester_I/becky07b.cha, line 1655 · Becky 2;02
  6. I am okay . MOT · eng_british_Manchester_I/becky07b.cha, line 1657 · Becky 2;02
  7. are you okay ? MOT · eng_british_Manchester_I/becky07b.cha, line 1659 · Becky 2;02
  8. are you okay ? MOT · eng_british_Manchester_I/becky07b.cha, line 1665 · Becky 2;02
  9. okay . INV · eng_british_Manchester_I/becky07b.cha, line 1750 · Becky 2;02
  1. MOTother way round .
    MOTthat's the way .
    MOT*MOT: okay ?
    CHIno [*] a very # happy fish .
    MOThe's not a very happy fish ?
  2. MOTI'm squeezing you really hard .
    CHII want some juice .
    INV*INV: okay .
    MOToh .
    MOTI'm not a chair , you know .
  3. CHIyeah .
    MOTthere we are .
    MOT*MOT: okay ?
    CHIno .
    CHIxxx .
  4. MOTyeah ?
    MOTput the other one behind .
    MOT*MOT: okay ?
    MOTright .
    MOTchoo+choo .
  5. MOTthat's naughty .
    CHIam mine [*] okay ?
    MOT*MOT: am I okay ?
    MOTI am okay .
    MOTare you okay ?
  6. CHIam mine [*] okay ?
    MOTam I okay ?
    MOT*MOT: I am okay .
    MOTare you okay ?
    MOTxxx .
  7. MOTam I okay ?
    MOTI am okay .
    MOT*MOT: are you okay ?
    MOTxxx .
    CHIxxx .
  8. MOTxxx .
    CHIxxx .
    MOT*MOT: are you okay ?
    CHIno .
    MOTno .
  9. CHIwant lipsticks ?
    INVdo I want lipstick ?
    INV*INV: okay .
    MOTwhoops .
    CHIxxx .

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_I5.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky07b.chaBecky 2;2.151,572995.73

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. okay9 · 100.0%