PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (404 utterances, 2,002 words searched).

  1. there's a broken helmet there with no face underneath it . MOT · eng_british_Manchester_II/warr09b.cha, line 77 · Warren 2;01
  2. that's the hat but where [/] where's the face to go under the hat ? MOT · eng_british_Manchester_II/warr09b.cha, line 160 · Warren 2;01
  3. there's a hole in the cat's face . MOT · eng_british_Manchester_II/warr09b.cha, line 504 · Warren 2;01
  4. it's the dog's face , isn't it ? MOT · eng_british_Manchester_II/warr09b.cha, line 587 · Warren 2;01
  5. is the dog's body <next to his> [//] under his face . MOT · eng_british_Manchester_II/warr09b.cha, line 820 · Warren 2;01
  1. MOTa firefighter on the phone and a firefighter driving .
    MOToh look .
    MOT*MOT: there's a broken helmet there with no face underneath it .
    MOTcan you mend it by putting that piece in ?
    CHIgo there .
  2. CHIthere hat there .
    CHIsee the hat .
    MOT*MOT: that's the hat but where [/] where's the face to go under the hat ?
    CHIover there .
    MOTthat's it .
  3. CHIxxx .
    MOTlook .
    MOT*MOT: there's a hole in the cat's face .
    MOTI wonder why .
    MOTpoor cat .
  4. MOTthere it is .
    MOTand what goes here ?
    MOT*MOT: it's the dog's face , isn't it ?
    MOTdog's head goes here so which piece is it ?
    CHIthat one go there .
  5. MOTcan you put them together .
    CHIone two three four five six seven eight nine ten eleven twelve .
    MOT*MOT: is the dog's body <next to his> [//] under his face .
    MOTsweetheart .
    MOTwhen you count you only count each thing once .

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_II2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr09b.chaWarren 2;1.012,002552.50

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. face5 · 100.0%