PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. nice horsie . FAT · eng_USA_Brown/sarah010.cha, line 543 · Sarah 2;04
  2. nice ball . FAT · eng_USA_Brown/sarah010.cha, line 855 · Sarah 2;04
  3. do it nice . MOT · eng_USA_Brown/sarah010.cha, line 1592 · Sarah 2;04
  4. ok # you tie it nice now . MOT · eng_USA_Brown/sarah010.cha, line 1661 · Sarah 2;04
  5. you got a nice ribbon . MOT · eng_USA_Brown/sarah010.cha, line 1740 · Sarah 2;04
  1. CHInice .
    CHInice .
    FAT*FAT: nice horsie .
    FATsee an owl ?
    CHIowl .
  2. FATgood ball .
    CHIgood ball # nice ball .
    FAT*FAT: nice ball .
    FATit's a round ball .
    CHIround ball ?
  3. MOTok .
    CHIxxx .
    MOT*MOT: do it nice .
    CHIhuh ?
    MOTyou can make it pretty .
  4. MOTwhat ?
    CHIxxx .
    MOT*MOT: ok # you tie it nice now .
    MOTmake a pretty bow .
    CHIxxx .
  5. GLOhere .
    GLOthat's a big # big ribbon .
    MOT*MOT: you got a nice ribbon .
    CHIxxx me [/] me .
    GLOxxx .

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_Brown3.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah010.chaSarah 2;4.191,280553.91

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. nice5 · 100.0%