PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,477 words searched).

  1. how many fish was it ? MOT · eng_USA_Brown/sarah094.cha, line 111 · Sarah 4;02
  2. I don't know how she gets across Memorial Drive # though . MOT · eng_USA_Brown/sarah094.cha, line 756 · Sarah 4;02
  3. you know how to make an a@l . MOT · eng_USA_Brown/sarah094.cha, line 961 · Sarah 4;02
  4. know how to make an i@l ? FAT · eng_USA_Brown/sarah094.cha, line 1134 · Sarah 4;02
  5. how about that ? MOT · eng_USA_Brown/sarah094.cha, line 1275 · Sarah 4;02
  1. CHIhuh ?
    FATremember all the fish the seal ate ?
    MOT*MOT: how many fish was it ?
    FATtwenty six I think it might have been .
    MOTyeah # twenty six fish .
  2. GAImmhm .
    CHIy(ou) see .
    MOT*MOT: I don't know how she gets across Memorial Drive # though .
    CHIwatch .
    CHIle(t) me make something .
  3. CHII know how to write my name now # huh ?
    FATxxx .
    MOT*MOT: you know how to make an a@l .
    CHIyup # that's easy .
    CHIlike that # huh ?
  4. FATmake an i@l .
    CHIi@l +...
    FAT*FAT: know how to make an i@l ?
    CHIhunm .
    FATxxx # what's a matter with this ?
  5. CHII watch it on tv # anyhow .
    MOTyeah # that's a tree .
    MOT*MOT: how about that ?
    CHIthen you do this # mmhm .
    CHIlike that # do you ?

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_Brown3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah094.chaSarah 4;2.011,477553.39

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. how5 · 100.0%