PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (365 utterances, 1,433 words searched).

  1. are you going to sit there and sulk ? MOT · eng_british_Manchester_II/nic30b.cha, line 34 · Nicole 2;10
  2. are you going to sit and sulk ? MOT · eng_british_Manchester_II/nic30b.cha, line 37 · Nicole 2;10
  3. butt out and go over there and have your sulk , will you ? MOT · eng_british_Manchester_II/nic30b.cha, line 175 · Nicole 2;10
  4. you sit over there and have your sulk there . MOT · eng_british_Manchester_II/nic30b.cha, line 186 · Nicole 2;10
  1. MOTno ?
    MOTever so warm .
    MOT*MOT: are you going to sit there and sulk ?
    MOTare you going to sit and sulk ?
    MOTwhat's the matter ?
  2. MOTever so warm .
    MOTare you going to sit there and sulk ?
    MOT*MOT: are you going to sit and sulk ?
    MOTwhat's the matter ?
    CHIMummy .
  3. MOTI'm playing with this .
    CHIno .
    MOT*MOT: butt out and go over there and have your sulk , will you ?
    CHIyeah .
    MOTwhile I play with this .
  4. CHIno way .
    MOTthat's right .
    MOT*MOT: you sit over there and have your sulk there .
    MOTand I'll just carry on playing with this .
    MOTokay ?

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_II2.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic30b.chaNicole 2;10.291,433442.79

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. sulk4 · 100.0%