PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (452 utterances, 1,780 words searched).

  1. how many pennys have you got ? MOT · eng_british_Manchester_II/nic33a.cha, line 432 · Nicole 3;00
  2. how come have you got glue there [//] round there ? MOT · eng_british_Manchester_II/nic33a.cha, line 581 · Nicole 3;00
  3. how did you get glue down there ? MOT · eng_british_Manchester_II/nic33a.cha, line 593 · Nicole 3;00
  4. how many plugs have you got ? MOT · eng_british_Manchester_II/nic33a.cha, line 1738 · Nicole 3;00
  1. CHIyeah .
    CHIcount my money .
    MOT*MOT: how many pennys have you got ?
    CHIxxx .
    CHIwhen Nicole count +...
  2. CHIin [/] in my xxx .
    MOTnow .
    MOT*MOT: how come have you got glue there [//] round there ?
    CHIin [/] in a +//.
    CHIwe get it off in a bath tomorning@c .
  3. MOTwe'll get it off in a bath tonight you mean .
    MOTnow .
    MOT*MOT: how did you get glue down there ?
    MOTdid you wipe your legs with the glue brush ?
    CHIyeah .
  4. CHIand another plug now .
    CHIthere .
    MOT*MOT: how many plugs have you got ?
    CHItwo .
    CHIright .

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. Nicole eng_british_Manchester_II2.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic33a.chaNicole 3;0.031,780442.25

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. how4 · 100.0%