PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,280 words searched).

  1. no # what's this over here ? FAT · eng_USA_Brown/sarah010.cha, line 85 · Sarah 2;04
  2. no # over here . FAT · eng_USA_Brown/sarah010.cha, line 529 · Sarah 2;04
  3. no # it's all right # this ribbon can stay here # you have lots of ribbon . MOT · eng_USA_Brown/sarah010.cha, line 1668 · Sarah 2;04
  4. you have a ribbon here . GLO · eng_USA_Brown/sarah010.cha, line 1724 · Sarah 2;04
  5. here . GLO · eng_USA_Brown/sarah010.cha, line 1736 · Sarah 2;04
  6. over here # the peanut butter . MOT · eng_USA_Brown/sarah010.cha, line 1877 · Sarah 2;04
  1. eng_USA_Brown/sarah010.cha, line 85 · Sarah, 2;4.19
    FATwhat's this # Sarah ?
    CHIxxx .
    FAT*FAT: no # what's this over here ?
    CHIphone .
    FATthe phone ?
  2. eng_USA_Brown/sarah010.cha, line 529 · Sarah, 2;4.19
    FATlook at the long tail .
    FATwho's got the long tail ?
    FAT*FAT: no # over here .
    FATthe squirrel has a long tail # say # long tail .
    CHIlong tail ?
  3. eng_USA_Brown/sarah010.cha, line 1668 · Sarah, 2;4.19
    MOTmake a pretty bow .
    CHIxxx .
    MOT*MOT: no # it's all right # this ribbon can stay here # you have lots of ribbon .
    CHIxxx .
    MOTyeah .
  4. eng_USA_Brown/sarah010.cha, line 1724 · Sarah, 2;4.19
    CHIxxx .
    MOTlike [//] <we'll put a ribbon on yours> [//] see you have a ribbon .
    GLO*GLO: you have a ribbon here .
    MOTsee # look at your ribbon .
    MOTyou got a red ribbon # and I got a pink ribbon .
  5. eng_USA_Brown/sarah010.cha, line 1736 · Sarah, 2;4.19
    CHIxxx .
    MOTlook at this big ribbon you have .
    GLO*GLO: here .
    GLOthat's a big # big ribbon .
    MOTyou got a nice ribbon .
  6. eng_USA_Brown/sarah010.cha, line 1877 · Sarah, 2;4.19
    CHIxxx .
    CHIMommy .
    MOT*MOT: over here # the peanut butter .
    MOTxxx ?
    CHIxxx .

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_Brown4.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah010.chaSarah 2;4.191,280664.69

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. here6 · 100.0%