PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. yeah # he fed him fish . MOT · eng_USA_Brown/sarah094.cha, line 57 · Sarah 4;02
  2. and remember all the fish he ate ? FAT · eng_USA_Brown/sarah094.cha, line 104 · Sarah 4;02
  3. remember all the fish the seal ate ? FAT · eng_USA_Brown/sarah094.cha, line 109 · Sarah 4;02
  4. how many fish was it ? MOT · eng_USA_Brown/sarah094.cha, line 111 · Sarah 4;02
  5. yeah # twenty six fish . MOT · eng_USA_Brown/sarah094.cha, line 116 · Sarah 4;02
  6. <a fella> [//] # the keeper # was feedin(g) the fish # kept makin(g) em sit # and come back . FAT · eng_USA_Brown/sarah094.cha, line 137 · Sarah 4;02
  1. MOTtake your finger out o(f) your mouth .
    CHIfish .
    MOT*MOT: yeah # he fed him fish .
    FATwhat (d)o you call it ?
    CHIstunk ?
  2. FATand what +...
    CHI(a)n(d) a +...
    FAT*FAT: and remember all the fish he ate ?
    CHIhuh ?
    FATremember all the fish the seal ate ?
  3. FATand remember all the fish he ate ?
    CHIhuh ?
    FAT*FAT: remember all the fish the seal ate ?
    MOThow many fish was it ?
    FATtwenty six I think it might have been .
  4. 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 .
  5. MOThow many fish was it ?
    FATtwenty six I think it might have been .
    MOT*MOT: yeah # twenty six fish .
    MELtwenty six at one sitting ?
    MOTyeah # they were good size too .
  6. FATyeah .
    MOTone right after the other .
    FAT*FAT: <a fella> [//] # the keeper # was feedin(g) the fish # kept makin(g) em sit # and come back .
    MELxxx .
    MELwhat's your favorite animal # Sarah ?

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_Brown4.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah094.chaSarah 4;2.011,477664.06

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. fish6 · 100.0%