PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,262 words searched).

  1. well # say ! GLO · eng_USA_Brown/sarah044.cha, line 223 · Sarah 3;01
  2. and say hello to you . GLO · eng_USA_Brown/sarah044.cha, line 743 · Sarah 3;01
  3. say that again . GLO · eng_USA_Brown/sarah044.cha, line 1203 · Sarah 3;01
  4. what does Chatty_baby say # Sarah ? GLO · eng_USA_Brown/sarah044.cha, line 1368 · Sarah 3;01
  5. what does she say ? GLO · eng_USA_Brown/sarah044.cha, line 1372 · Sarah 3;01
  6. what she say ? MOT · eng_USA_Brown/sarah044.cha, line 1378 · Sarah 3;01
  7. what she say then ? MOT · eng_USA_Brown/sarah044.cha, line 1384 · Sarah 3;01
  1. GLOyou can even have three # how about that ?
    GLOd(o) ya like popsicles ?
    GLO*GLO: well # say !
    CHI0 .
    MOTwhy do you like them ?
  2. GLOI'd like to visit with you .
    GLOand talk with you .
    GLO*GLO: and say hello to you .
    GLOwhat else is in there ?
    CHIum .
  3. MOTyou what ?
    CHIsit in out cookie .
    GLO*GLO: say that again .
    GLOya what ?
    CHIyou # what .
  4. CHIah .
    CHIyyy .
    GLO*GLO: what does Chatty_baby say # Sarah ?
    GLOyou tell me .
    GLOwhat does she say ?
  5. GLOwhat does Chatty_baby say # Sarah ?
    GLOyou tell me .
    GLO*GLO: what does she say ?
    CHIshe says xxx .
    CHIMummy .
  6. CHIshe says xxx .
    CHIMummy .
    MOT*MOT: what she say ?
    CHInice baby .
    CHIxxx .
  7. CHInice baby .
    CHIxxx .
    MOT*MOT: what she say then ?
    CHIdoggie bow_wow@o .
    CHInight [/] # night .

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_Brown5.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah044.chaSarah 3;1.101,262775.55

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. say7 · 100.0%