PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (414 utterances, 1,606 words searched).

  1. who came to see you last night ? MOT · eng_USA_Brown/sarah054.cha, line 104 · Sarah 3;03
  2. who came to see you ? MOT · eng_USA_Brown/sarah054.cha, line 106 · Sarah 3;03
  3. who was here ? MOT · eng_USA_Brown/sarah054.cha, line 108 · Sarah 3;03
  4. one minute # who is it ? MOT · eng_USA_Brown/sarah054.cha, line 244 · Sarah 3;03
  5. who is she # the landlady ? GLO · eng_USA_Brown/sarah054.cha, line 330 · Sarah 3;03
  6. who ? MOT · eng_USA_Brown/sarah054.cha, line 539 · Sarah 3;03
  7. who's that ? MOT · eng_USA_Brown/sarah054.cha, line 643 · Sarah 3;03
  8. who's that ? GLO · eng_USA_Brown/sarah054.cha, line 647 · Sarah 3;03
  1. CHI0 .
    GLOwhat are you doing # erasing ?
    MOT*MOT: who came to see you last night ?
    MOTwho came to see you ?
    MOTwho was here ?
  2. GLOwhat are you doing # erasing ?
    MOTwho came to see you last night ?
    MOT*MOT: who came to see you ?
    MOTwho was here ?
    CHIxxx .
  3. MOTwho came to see you last night ?
    MOTwho came to see you ?
    MOT*MOT: who was here ?
    CHIxxx .
    MOTme ?
  4. GLOone line here .
    GLO(a)n(d) one there .
    MOT*MOT: one minute # who is it ?
    CHIMommy # I get it .
    CHI(o)k # xxx .
  5. GLOxxx .
    MOTxxx .
    GLO*GLO: who is she # the landlady ?
    MOTxxx .
    GLOoh # .
  6. MOTI think she was just over tired .
    CHITressa +...
    MOT*MOT: who ?
    CHI<Tressu # Tressa # Tressa # Tressa # Tressa> [/] # Tressa .
    MOThmm .
  7. CHIuhoh the(r)e's a xxx man .
    MOTlet's see .
    MOT*MOT: who's that ?
    GLOlet's see .
    GLOwho's that ?
  8. MOTwho's that ?
    GLOlet's see .
    GLO*GLO: who's that ?
    GLOcan you tell ?
    MOTyou got a leak ?

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_Brown4.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah054.chaSarah 3;3.201,606884.98

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. who8 · 100.0%