PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (395 utterances, 1,424 words searched).

  1. what do you want doing ? MOT · eng_british_Manchester_I/carl27a.cha, line 270 · Carl 2;05
  2. what're you doing ? MOT · eng_british_Manchester_I/carl27a.cha, line 948 · Carl 2;05
  3. what're we doing ? MOT · eng_british_Manchester_I/carl27a.cha, line 1229 · Carl 2;05
  4. what's she doing in there ? MOT · eng_british_Manchester_I/carl27a.cha, line 1531 · Carl 2;05
  5. what's she doing to Carl ? MOT · eng_british_Manchester_I/carl27a.cha, line 1616 · Carl 2;05
  6. look what you're doing there with Daddy , look . MOT · eng_british_Manchester_I/carl27a.cha, line 1646 · Carl 2;05
  7. what're you doing ? MOT · eng_british_Manchester_I/carl27a.cha, line 1752 · Carl 2;05
  8. you're doing the letters , are you ? MOT · eng_british_Manchester_I/carl27a.cha, line 1806 · Carl 2;05
  1. CHII can't do them .
    CHII can't do them .
    MOT*MOT: what do you want doing ?
    CHII do them go in there .
    MOTwhat're you trying to do ?
  2. CHIa little horsie .
    MOToh yeah .
    MOT*MOT: what're you doing ?
    CHIno .
    CHIa [/] a horsie .
  3. CHIthat's Carl .
    CHIthat's Daddy .
    MOT*MOT: what're we doing ?
    CHIwe doing the +/.
    MOTlook at your dirty face .
  4. CHIxxx .
    MOToh it's Clara .
    MOT*MOT: what's she doing in there ?
    CHIoh .
    CHIit's Carl .
  5. CHIit's Nana_Doris .
    CHIwhat is that ?
    MOT*MOT: what's she doing to Carl ?
    MOTshe's giving you a good old squeeze .
    MOTthat's Mummy .
  6. CHImmhm .
    MOTlook .
    MOT*MOT: look what you're doing there with Daddy , look .
    CHIplay the music .
    MOTyou're playing some music yeah .
  7. MOTwon't [: willn't] be a minute .
    MOToh Carl .
    MOT*MOT: what're you doing ?
    MOTI thought you wanted a poo .
    CHIno .
  8. MOTnumbers .
    MOTnot the letters .
    MOT*MOT: you're doing the letters , are you ?
    CHIcome on , Mummy .
    CHI<let's make> [/] let's make it .

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_I5.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl27a.chaCarl 2;5.201,424885.62

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. doing8 · 100.0%