PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (408 utterances, 1,397 words searched).

  1. has she finished now , Becky . MOT · eng_british_Manchester_I/becky32b.cha, line 762 · Becky 2;11
  2. are you okay now ? MOT · eng_british_Manchester_I/becky32b.cha, line 1167 · Becky 2;11
  3. we'll have to go and wash it , willn't we now ? MOT · eng_british_Manchester_I/becky32b.cha, line 1335 · Becky 2;11
  4. I've got something in my eye now . MOT · eng_british_Manchester_I/becky32b.cha, line 1537 · Becky 2;11
  5. I've got something in my eye now . MOT · eng_british_Manchester_I/becky32b.cha, line 1542 · Becky 2;11
  6. now . MOT · eng_british_Manchester_I/becky32b.cha, line 1694 · Becky 2;11
  1. eng_british_Manchester_I/becky32b.cha, line 762 · Becky, 2;11.01
    CHIoh dear .
    MOTthat's it .
    MOT*MOT: has she finished now , Becky .
    CHIyes .
    CHIthat's [/] that's +...
  2. eng_british_Manchester_I/becky32b.cha, line 1167 · Becky, 2;11.01
    MOTyes .
    MOTalright .
    MOT*MOT: are you okay now ?
    CHIyeah .
    MOTare you ?
  3. eng_british_Manchester_I/becky32b.cha, line 1335 · Becky, 2;11.01
    MOTyes .
    MOTwell .
    MOT*MOT: we'll have to go and wash it , willn't we now ?
    MOTwww .
    MOTcome on .
  4. eng_british_Manchester_I/becky32b.cha, line 1537 · Becky, 2;11.01
    CHIwe're going to have +...
    MOToh , Becky .
    MOT*MOT: I've got something in my eye now .
    CHIwhat ?
    MOTI've got something in my eye now .
  5. eng_british_Manchester_I/becky32b.cha, line 1542 · Becky, 2;11.01
    MOTI've got something in my eye now .
    CHIwhat ?
    MOT*MOT: I've got something in my eye now .
    CHIyou got something .
    CHIxxx .
  6. eng_british_Manchester_I/becky32b.cha, line 1694 · Becky, 2;11.01
    CHIit's billy@c .
    CHII want +/.
    MOT*MOT: now .
    MOTwhat're you singing ?
    CHIit's billybilly@c .

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_I4.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32b.chaBecky 2;11.011,397664.29

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. now6 · 100.0%