PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (218 utterances, 813 words searched).

  1. talk to the Easter_Bunny . MOT · eng_USA_Brown/sarah067.cha, line 288 · Sarah 3;06
  2. why don't you ask the Easter_Bunny where it is ? KEN · eng_USA_Brown/sarah067.cha, line 889 · Sarah 3;06
  3. call the Easter_Bunny and ask him . KEN · eng_USA_Brown/sarah067.cha, line 892 · Sarah 3;06
  1. eng_USA_Brown/sarah067.cha, line 288 · Sarah, 3;6.30
    CHIthis not a really one .
    CHIoh +...
    MOT*MOT: talk to the Easter_Bunny .
    CHI<Easter_Bunny # Easter_Bunny> [/] # Easter_Bunny # um .
    CHI(o)k # how's Easter_Bunny # huh ?
  2. eng_USA_Brown/sarah067.cha, line 889 · Sarah, 3;6.30
    CHII don't know where my whistle is .
    CHImy crazy ol(d) whistle .
    KEN*KEN: why don't you ask the Easter_Bunny where it is ?
    KENcall the Easter_Bunny and ask him .
    CHII got to have # a new piano .
  3. eng_USA_Brown/sarah067.cha, line 892 · Sarah, 3;6.30
    CHImy crazy ol(d) whistle .
    KENwhy don't you ask the Easter_Bunny where it is ?
    KEN*KEN: call the Easter_Bunny and ask him .
    CHII got to have # a new piano .
    CHII have to get a new piano .

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_Brown3.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah067.chaSarah 3;6.30813333.69

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. easter_bunny3 · 100.0%