PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (456 utterances, 1,681 words searched).

  1. very hot , is it ? MOT · eng_british_Manchester_I/becky07a.cha, line 707 · Becky 2;02
  2. hot ? MOT · eng_british_Manchester_I/becky07a.cha, line 713 · Becky 2;02
  3. very hot ? INV · eng_british_Manchester_I/becky07a.cha, line 788 · Becky 2;02
  4. is it hot that cup of tea ? MOT · eng_british_Manchester_I/becky07a.cha, line 1000 · Becky 2;02
  5. hot . MOT · eng_british_Manchester_I/becky07a.cha, line 1006 · Becky 2;02
  1. CHIyeah .
    CHIvery hot .
    MOT*MOT: very hot , is it ?
    CHIyeah .
    MOThave to be careful then .
  2. CHIyeah .
    MOThave to be careful then .
    MOT*MOT: hot ?
    MOTis it burning your fingers ?
    CHIyeah .
  3. CHIxxx .
    CHIvery hot .
    INV*INV: very hot ?
    CHIyeah .
    CHIvery hot .
  4. MOTno .
    MOTmustn't put crayons in your mouth .
    MOT*MOT: is it hot that cup of tea ?
    MOTis it nice ?
    CHIhot .
  5. MOTis it nice ?
    CHIhot .
    MOT*MOT: hot .
    MOTyes .
    MOTis it all gone ?

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_I2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky07a.chaBecky 2;2.151,681552.97

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. hot5 · 100.0%