PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

7.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,270 words searched).

  1. what's (th)e matter ? MOT · eng_USA_Brown/sarah043.cha, line 260 · Sarah 3;01
  2. what's your name ? MOT · eng_USA_Brown/sarah043.cha, line 305 · Sarah 3;01
  3. what's that ? MOT · eng_USA_Brown/sarah043.cha, line 427 · Sarah 3;01
  4. what's all that noise ? MOT · eng_USA_Brown/sarah043.cha, line 429 · Sarah 3;01
  5. what's her name ? MOT · eng_USA_Brown/sarah043.cha, line 457 · Sarah 3;01
  6. what's the matter ? MOT · eng_USA_Brown/sarah043.cha, line 742 · Sarah 3;01
  7. what's his name ? MOT · eng_USA_Brown/sarah043.cha, line 836 · Sarah 3;01
  8. what's his name ? MOT · eng_USA_Brown/sarah043.cha, line 846 · Sarah 3;01
  9. what's gone ? MOT · eng_USA_Brown/sarah043.cha, line 1052 · Sarah 3;01
  1. MOTmm .
    MOTtaste good ?
    MOT*MOT: what's (th)e matter ?
    MOTyou're awful quiet .
    MOThuh ?
  2. MOToh # Sarah .
    CHIwhat ?
    MOT*MOT: what's your name ?
    CHISarah .
    CHII want # xxx .
  3. CHIxxx .
    CHIum xxx .
    MOT*MOT: what's that ?
    MOTwhat's all that noise ?
    MOTyou're not telling me anything .
  4. CHIum xxx .
    MOTwhat's that ?
    MOT*MOT: what's all that noise ?
    MOTyou're not telling me anything .
    MOTyou're just making noise .
  5. MOTwhat was her name ?
    CHIum .
    MOT*MOT: what's her name ?
    CHIChristen .
    MOTwhat ?
  6. MOTlater tonight .
    CHIo:h .
    MOT*MOT: what's the matter ?
    MOTwant anymore ?
    MOTno ?
  7. MOToh # I thought you were going to give him to me .
    MOTalright # let's see .
    MOT*MOT: what's his name ?
    CHIum # bunny .
    MOTyeah # well # he has to have a name .
  8. MOTyou call him Peter ?
    CHIPeter .
    MOT*MOT: what's his name ?
    CHIMelisandy .
    MOTwhat is it ?
  9. CHIit's gone .
    CHIit's gone .
    MOT*MOT: what's gone ?
    CHImy boo+boo gone .
    MOTyeah .

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_Brown7.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah043.chaSarah 3;1.031,270997.09

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. what's9 · 100.0%