PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.78 per 1,000 words of the child (CHI), in 1 of 1 transcripts (393 utterances, 1,079 words searched).

  1. how do you have tie it ? CHI · eng_british_Manchester_I/becky32b.cha, line 1598 · Becky 2;11
  2. how do we tie it ? CHI · eng_british_Manchester_I/becky32b.cha, line 1618 · Becky 2;11
  3. how do you tie it on your nose ? CHI · eng_british_Manchester_I/becky32b.cha, line 1623 · Becky 2;11
  1. eng_british_Manchester_I/becky32b.cha, line 1598 · Becky, 2;11.01
    MOThmm ?
    CHIxxx .
    CHI*CHI: how do you have tie it ?
    MOThonestly .
    MOTno .
  2. eng_british_Manchester_I/becky32b.cha, line 1618 · Becky, 2;11.01
    CHIlet's tie it round your [//] a face .
    MOTyou cruel thing .
    CHI*CHI: how do we tie it ?
    MOTyou can't tie it round my face , Becky .
    CHIhow do you tie it on your nose ?
  3. eng_british_Manchester_I/becky32b.cha, line 1623 · Becky, 2;11.01
    CHIhow do we tie it ?
    MOTyou can't tie it round my face , Becky .
    CHI*CHI: how do you tie it on your nose ?
    INVI don't think you can .
    CHItie it on your hair ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_I2.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32b.chaBecky 2;11.011,079332.78

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. how3 · 100.0%