PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. hmm . MOT · eng_USA_Brown/sarah054.cha, line 545 · Sarah 3;03
  2. hmm ? MOT · eng_USA_Brown/sarah054.cha, line 632 · Sarah 3;03
  3. hmm ? MOT · eng_USA_Brown/sarah054.cha, line 636 · Sarah 3;03
  4. hmm ? MOT · eng_USA_Brown/sarah054.cha, line 833 · Sarah 3;03
  5. hmm ? MOT · eng_USA_Brown/sarah054.cha, line 1362 · Sarah 3;03
  6. hmm yeah . GLO · eng_USA_Brown/sarah054.cha, line 1485 · Sarah 3;03
  7. hmm ? MOT · eng_USA_Brown/sarah054.cha, line 1504 · Sarah 3;03
  1. eng_USA_Brown/sarah054.cha, line 545 · Sarah, 3;3.20
    MOTwho ?
    CHI<Tressu # Tressa # Tressa # Tressa # Tressa> [/] # Tressa .
    MOT*MOT: hmm .
    CHII want Tressa .
    CHII want Tressa .
  2. eng_USA_Brown/sarah054.cha, line 632 · Sarah, 3;3.20
    MOTwhat'd Mommy do with your slippers ?
    MOTd(o) you remember ?
    MOT*MOT: hmm ?
    CHIit's on my +...
    MOThmm ?
  3. eng_USA_Brown/sarah054.cha, line 636 · Sarah, 3;3.20
    MOThmm ?
    CHIit's on my +...
    MOT*MOT: hmm ?
    CHIuhoh the(r)e's a xxx man .
    MOTlet's see .
  4. eng_USA_Brown/sarah054.cha, line 833 · Sarah, 3;3.20
    GLOthat was a good idea .
    MOTwhere'd I ever get you from ?
    MOT*MOT: hmm ?
    MOTwhere'd I get you from ?
    CHIhe +...
  5. eng_USA_Brown/sarah054.cha, line 1362 · Sarah, 3;3.20
    MOTsee # that's the handle ?
    CHIwill I break it ?
    MOT*MOT: hmm ?
    CHIwill I break it ?
    MOTyeah # that's the way it goes .
  6. eng_USA_Brown/sarah054.cha, line 1485 · Sarah, 3;3.20
    CHIuh # she ge(t) uh diaper .
    CHIuhoh .
    GLO*GLO: hmm yeah .
    CHI<&mu> [//] may look it .
    CHIge(t) some mo(r)e water .
  7. eng_USA_Brown/sarah054.cha, line 1504 · Sarah, 3;3.20
    MOToh # ya got some water in it .
    CHIde no(t) plenty water .
    MOT*MOT: hmm ?
    CHIde(re)'s not plenty water .
    CHI<uh # uh> [/] # uh # de(re)'s not # plenty water .

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_Brown4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah054.chaSarah 3;3.201,606774.36

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. hmm7 · 100.0%