PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (503 utterances, 1,934 words searched).

  1. hmm ? MOT · eng_USA_Brown/eve09.cha, line 816 · Eve 1;10
  2. hmm ? MOT · eng_USA_Brown/eve09.cha, line 1041 · Eve 1;10
  3. hmm ? MOT · eng_USA_Brown/eve09.cha, line 1207 · Eve 1;10
  4. hmm ? MOT · eng_USA_Brown/eve09.cha, line 1224 · Eve 1;10
  5. hmm ? MOT · eng_USA_Brown/eve09.cha, line 2020 · Eve 1;10
  6. hmm ? MOT · eng_USA_Brown/eve09.cha, line 3299 · Eve 1;10
  1. MOTwe'll make some this afternoon .
    CHIxxx make some xxx .
    MOT*MOT: hmm ?
    CHIwe make some xxx ice cube .
    MOTice cubes ?
  2. CHIfrom mailman .
    CHIMom # Daddy's check .
    MOT*MOT: hmm ?
    CHIthat Daddy check .
    MOTa check ?
  3. MOTMom's making a cheese sandwich for lunch .
    CHIpiece a cheese .
    MOT*MOT: hmm ?
    CHIpiece a cheese .
    MOTa piece a cheese ?
  4. MOTwant a piece a cheese now ?
    CHIno .
    MOT*MOT: hmm ?
    CHIyup .
    MOTyes or no ?
  5. MOTyep .
    CHIwall man .
    MOT*MOT: hmm ?
    CHIup wall .
    MOTon the wall .
  6. MOTno .
    CHIMom # that supper .
    MOT*MOT: hmm ?
    CHIthat supper .
    MOTthat's not supper .

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. Eve eng_USA_Brown3.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve09.chaEve 1;10.1,934663.10

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. hmm6 · 100.0%