PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. what's Auntie_Marilyn's kitty's name ? MOT · eng_USA_Brown/sarah028.cha, line 177 · Sarah 2;09
  2. are you sure your kitty's name is Tammy ? MOT · eng_USA_Brown/sarah028.cha, line 263 · Sarah 2;09
  3. the other day you told me his name was Dawson . MOT · eng_USA_Brown/sarah028.cha, line 274 · Sarah 2;09
  4. are you sure that you don't mean the [//] the doggie's name is # uh # Tippy ? MOT · eng_USA_Brown/sarah028.cha, line 301 · Sarah 2;09
  5. the doggie's name is Tippy . MOT · eng_USA_Brown/sarah028.cha, line 308 · Sarah 2;09
  6. and what's the kitty's name ? MOT · eng_USA_Brown/sarah028.cha, line 310 · Sarah 2;09
  7. what's his name ? MOT · eng_USA_Brown/sarah028.cha, line 452 · Sarah 2;09
  1. CHII like Teppy .
    MOTyou like Teppy ?
    MOT*MOT: what's Auntie_Marilyn's kitty's name ?
    CHITammy .
    MOTTammy ?
  2. CHITammy .
    MOTTammy ?
    MOT*MOT: are you sure your kitty's name is Tammy ?
    CHI0 .
    MOT<what is> [//] who's Dawson ?
  3. CHII (do)n('t) know .
    MOTyou don't know !
    MOT*MOT: the other day you told me his name was Dawson .
    CHIDawson ?
    MOTyeah .
  4. CHIwhoop !
    CHIxxx .
    MOT*MOT: are you sure that you don't mean the [//] the doggie's name is # uh # Tippy ?
    CHI0 .
    MOThuh ?
  5. CHI0 .
    MOThuh ?
    MOT*MOT: the doggie's name is Tippy .
    MOTand what's the kitty's name ?
    CHITammy .
  6. MOThuh ?
    MOTthe doggie's name is Tippy .
    MOT*MOT: and what's the kitty's name ?
    CHITammy .
    MOTTammy ?
  7. MOToh .
    CHIyyy .
    MOT*MOT: what's his name ?
    CHIyyy .
    MOToh # that's an elephant # yeah .

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. Sarah eng_USA_Brown6.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149776.09

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. name7 · 100.0%