PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.98 per 1,000 words of the child (CHI), in 1 of 1 transcripts (513 utterances, 1,505 words searched).

  1. I having lunch [!!] . CHI · eng_USA_Brown/eve09.cha, line 1659 · Eve 1;10
  2. I having lunch . CHI · eng_USA_Brown/eve09.cha, line 1674 · Eve 1;10
  3. not lunch . CHI · eng_USA_Brown/eve09.cha, line 1680 · Eve 1;10
  4. hot having lunch . CHI · eng_USA_Brown/eve09.cha, line 1688 · Eve 1;10
  5. Mom Eve eating lunch . CHI · eng_USA_Brown/eve09.cha, line 1754 · Eve 1;10
  6. have lunch . CHI · eng_USA_Brown/eve09.cha, line 3251 · Eve 1;10
  7. Fraser # I have lunch . CHI · eng_USA_Brown/eve09.cha, line 3263 · Eve 1;10
  8. have lunch on the new table . CHI · eng_USA_Brown/eve09.cha, line 3269 · Eve 1;10
  9. lunch . CHI · eng_USA_Brown/eve09.cha, line 3284 · Eve 1;10
  1. CHIsupper .
    FATsupper ?
    CHI*CHI: I having lunch [!!] .
    FATyou're having lunch .
    FATyes .
  2. CHInot supper .
    FATnot supper .
    CHI*CHI: I having lunch .
    FATyou're having lunch .
    CHInot lunch .
  3. CHII having lunch .
    FATyou're having lunch .
    CHI*CHI: not lunch .
    FATyeah # lunch .
    CHIhot having lunch .
  4. CHInot lunch .
    FATyeah # lunch .
    CHI*CHI: hot having lunch .
    CHIPop # my arm stuck .
    FATI know your arm's stuck .
  5. CHIMom eat .
    MOTyes # I'm gonna eat my sandwich .
    CHI*CHI: Mom Eve eating lunch .
    MOTyes we are .
    MOTwhat are we having ?
  6. MOTuhhuh .
    CHIhave supper .
    CHI*CHI: have lunch .
    MOTyes # we'll have lunch xxx .
    CHIhave supper .
  7. CHIhave supper .
    MOTtonight we'll have supper .
    CHI*CHI: Fraser # I have lunch .
    COLyep .
    CHIhave lunch on the new table .
  8. CHIFraser # I have lunch .
    COLyep .
    CHI*CHI: have lunch on the new table .
    MOTno # we'll not have lunch on the New table .
    CHIsupper .
  9. CHIsupper .
    MOTnot now .
    CHI*CHI: lunch .
    MOTright .
    CHIsupper .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown5.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve09.chaEve 1;10.1,505995.98

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. lunch9 · 100.0%