PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. I having fruit . CHI · eng_USA_Brown/eve09.cha, line 1635 · Eve 1;10
  2. I having lunch [!!] . CHI · eng_USA_Brown/eve09.cha, line 1659 · Eve 1;10
  3. I having lunch . CHI · eng_USA_Brown/eve09.cha, line 1674 · Eve 1;10
  4. hot having lunch . CHI · eng_USA_Brown/eve09.cha, line 1688 · Eve 1;10
  5. I having fruit . CHI · eng_USA_Brown/eve09.cha, line 1817 · Eve 1;10
  1. CHI# long xxx Papa .
    FATwhat # dear ?
    CHI*CHI: I having fruit .
    FATyou have good food ?
    MOTfruit # she's having .
  2. CHIsupper .
    FATsupper ?
    CHI*CHI: I having lunch [!!] .
    FATyou're having lunch .
    FATyes .
  3. CHInot supper .
    FATnot supper .
    CHI*CHI: I having lunch .
    FATyou're having lunch .
    CHInot lunch .
  4. CHInot lunch .
    FATyeah # lunch .
    CHI*CHI: hot having lunch .
    CHIPop # my arm stuck .
    FATI know your arm's stuck .
  5. MOTnot now .
    CHIMom # my arm stuck .
    CHI*CHI: I having fruit .
    MOTokay .
    CHIMom too .

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_Brown3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve09.chaEve 1;10.1,505553.32

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. having5 · 100.0%