PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,223 words searched).

  1. where's a mouth ? MOT · eng_british_Manchester_I/carl33a.cha, line 483 · Carl 2;08
  2. what a big mouth you've got . MOT · eng_british_Manchester_I/carl33a.cha, line 929 · Carl 2;08
  3. don't open your mouth . MOT · eng_british_Manchester_I/carl33a.cha, line 933 · Carl 2;08
  1. eng_british_Manchester_I/carl33a.cha, line 483 · Carl, 2;8.07
    MOTclever boy .
    CHIthere's a nose .
    MOT*MOT: where's a mouth ?
    CHIthere .
    MOThe's smiling .
  2. eng_british_Manchester_I/carl33a.cha, line 929 · Carl, 2;8.07
    MOTwell come on .
    MOTchew it .
    MOT*MOT: what a big mouth you've got .
    MOTeat it properly .
    MOTdon't open your mouth .
  3. eng_british_Manchester_I/carl33a.cha, line 933 · Carl, 2;8.07
    MOTwhat a big mouth you've got .
    MOTeat it properly .
    MOT*MOT: don't open your mouth .
    MOTyeah .
    MOTyou put too much in , didn't you ?

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. Carl eng_british_Manchester_I2.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl33a.chaCarl 2;8.071,223332.45

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. mouth3 · 100.0%