PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,778 words searched).

  1. right . MOT · eng_british_Manchester_II/warr17b.cha, line 115 · Warren 2;03
  2. right . MOT · eng_british_Manchester_II/warr17b.cha, line 263 · Warren 2;03
  3. that's right . MOT · eng_british_Manchester_II/warr17b.cha, line 550 · Warren 2;03
  4. that's right . MOT · eng_british_Manchester_II/warr17b.cha, line 574 · Warren 2;03
  5. well you look a right mess with that cardigan over all that . MOT · eng_british_Manchester_II/warr17b.cha, line 1124 · Warren 2;03
  6. right . MOT · eng_british_Manchester_II/warr17b.cha, line 1252 · Warren 2;03
  1. eng_british_Manchester_II/warr17b.cha, line 115 · Warren, 2;3.25
    CHII don't know .
    MOTyou don't know .
    MOT*MOT: right .
    MOTwell here are her arms .
    MOTnow then look .
  2. eng_british_Manchester_II/warr17b.cha, line 263 · Warren, 2;3.25
    CHIJolly giraffe .
    MOTthe giraffe .
    MOT*MOT: right .
    MOThe's a jolly tall giraffe .
    CHIhe a jolly tall giraffe .
  3. eng_british_Manchester_II/warr17b.cha, line 550 · Warren, 2;3.25
    MOThow many cows have we got now ?
    CHItwo .
    MOT*MOT: that's right .
    MOTwhat other animals shall we +//.
    MOTshall we put in a horse ?
  4. eng_british_Manchester_II/warr17b.cha, line 574 · Warren, 2;3.25
    MOTcount them .
    CHIone two three .
    MOT*MOT: that's right .
    MOTthree animals .
    MOTlet's put another one in .
  5. eng_british_Manchester_II/warr17b.cha, line 1124 · Warren, 2;3.25
    MOTwell we're not really going out yet .
    MOTwe're going out later .
    MOT*MOT: well you look a right mess with that cardigan over all that .
    CHIgoing out now .
    CHIit's a bit warm .
  6. eng_british_Manchester_II/warr17b.cha, line 1252 · Warren, 2;3.25
    MOTcan you just come here ?
    MOTwhat is that happening to your nose ?
    MOT*MOT: right .
    MOTcan you blow down your nose ?
    MOTblow down your nose .

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_II3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr17b.chaWarren 2;3.251,778663.37

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. right6 · 100.0%