PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (430 utterances, 1,513 words searched).

  1. a nurse . INV · eng_british_Manchester_I/becky19a.cha, line 433 · Becky 2;06
  2. a nurse . MOT · eng_british_Manchester_I/becky19a.cha, line 437 · Becky 2;06
  3. a nurse ? MOT · eng_british_Manchester_I/becky19a.cha, line 439 · Becky 2;06
  4. why're you going to be a nurse ? MOT · eng_british_Manchester_I/becky19a.cha, line 443 · Becky 2;06
  5. you don't want to be like a nurse . MOT · eng_british_Manchester_I/becky19a.cha, line 448 · Becky 2;06
  1. MOTyou're going to be nervous ?
    CHInurse .
    INV*INV: a nurse .
    MOToh .
    MOTa nurse .
  2. INVa nurse .
    MOToh .
    MOT*MOT: a nurse .
    MOTa nurse ?
    CHIyeah .
  3. MOToh .
    MOTa nurse .
    MOT*MOT: a nurse ?
    CHIyeah .
    MOTwhy're you going to be a nurse ?
  4. MOTa nurse ?
    CHIyeah .
    MOT*MOT: why're you going to be a nurse ?
    CHIbecause I don't want to be like a nurse .
    MOTyou don't want to be like a nurse .
  5. MOTwhy're you going to be a nurse ?
    CHIbecause I don't want to be like a nurse .
    MOT*MOT: you don't want to be like a nurse .
    CHIno .
    MOTdo you want to be like a doctor ?

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_I3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky19a.chaBecky 2;6.191,513553.30

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. nurse5 · 100.0%