PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,514 words searched).

  1. so how many cars are there now , Warren ? MOT · eng_british_Manchester_II/warr13b.cha, line 189 · Warren 2;02
  2. how many cars are there ? MOT · eng_british_Manchester_II/warr13b.cha, line 192 · Warren 2;02
  3. how many cars are there in the truck ? MOT · eng_british_Manchester_II/warr13b.cha, line 194 · Warren 2;02
  4. I think you've got enough cars . MOT · eng_british_Manchester_II/warr13b.cha, line 343 · Warren 2;02
  5. one two three cars . MOT · eng_british_Manchester_II/warr13b.cha, line 351 · Warren 2;02
  1. eng_british_Manchester_II/warr13b.cha, line 189 · Warren, 2;2.12
    MOTlook .
    CHIthere's another car .
    MOT*MOT: so how many cars are there now , Warren ?
    MOThow many cars are there ?
    MOThow many cars are there in the truck ?
  2. eng_british_Manchester_II/warr13b.cha, line 192 · Warren, 2;2.12
    CHIthere's another car .
    MOTso how many cars are there now , Warren ?
    MOT*MOT: how many cars are there ?
    MOThow many cars are there in the truck ?
    CHIxxx .
  3. eng_british_Manchester_II/warr13b.cha, line 194 · Warren, 2;2.12
    MOTso how many cars are there now , Warren ?
    MOThow many cars are there ?
    MOT*MOT: how many cars are there in the truck ?
    CHIxxx .
    MOTstill looking for that baby tiger .
  4. eng_british_Manchester_II/warr13b.cha, line 343 · Warren, 2;2.12
    CHIfind another car .
    MOTI don't think there is another car .
    MOT*MOT: I think you've got enough cars .
    CHIhow many have you got ?
    CHIone three four five cars .
  5. eng_british_Manchester_II/warr13b.cha, line 351 · Warren, 2;2.12
    CHIone three four five cars .
    MOTcount them properly .
    MOT*MOT: one two three cars .
    MOTthat won't [: willn't] tip back .
    MOTthe giraffe's head's in the way .

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. Warren eng_british_Manchester_II3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13b.chaWarren 2;2.121,514553.30

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. cars5 · 100.0%