PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

6.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (378 utterances, 1,497 words searched).

  1. you cooked one ? MOT · eng_USA_Brown/sarah029.cha, line 70 · Sarah 2;09
  2. I didn't cook one . MOT · eng_USA_Brown/sarah029.cha, line 72 · Sarah 2;09
  3. that's an orange one . MOT · eng_USA_Brown/sarah029.cha, line 157 · Sarah 2;09
  4. one # horse # open # sleigh . MOT · eng_USA_Brown/sarah029.cha, line 651 · Sarah 2;09
  5. and this one's for grass . FAT · eng_USA_Brown/sarah029.cha, line 712 · Sarah 2;09
  6. and that one is for dirt . FAT · eng_USA_Brown/sarah029.cha, line 718 · Sarah 2;09
  7. that's a hard one # huh . FAT · eng_USA_Brown/sarah029.cha, line 845 · Sarah 2;09
  8. one there # one here . FAT · eng_USA_Brown/sarah029.cha, line 1332 · Sarah 2;09
  9. one there # one here . FAT · eng_USA_Brown/sarah029.cha, line 1332 · Sarah 2;09
  10. one bike # xxx . FAT · eng_USA_Brown/sarah029.cha, line 1346 · Sarah 2;09
  1. CHIin (h)ere .
    CHII put .
    MOT*MOT: you cooked one ?
    MOTI didn't cook one .
    MOTwe froze it .
  2. CHII put .
    MOTyou cooked one ?
    MOT*MOT: I didn't cook one .
    MOTwe froze it .
    CHIyes .
  3. MOTwhat kind is that ?
    CHIred .
    MOT*MOT: that's an orange one .
    FATcold ?
    CHI0 .
  4. CHIxxx ride .
    CHIxxx ride .
    MOT*MOT: one # horse # open # sleigh .
    CHIxxx .
    CHIsleigh .
  5. CHItwo .
    FATtwo .
    FAT*FAT: and this one's for grass .
    FATsay grass .
    CHIgrass .
  6. FATsay grass .
    CHIgrass .
    FAT*FAT: and that one is for dirt .
    FATok ?
    FATand this is for dirt .
  7. FAThey # say # fix my swing .
    CHIfix my swing .
    FAT*FAT: that's a hard one # huh .
    CHIuh !
    CHIhere # Mummy .
  8. CHItwo .
    FATwhere ?
    FAT*FAT: one there # one here .
    CHI<one here> [/] # one here .
    FAThow many ponies have you got ?
  9. FATand how many bikes you got ?
    CHIone .
    FAT*FAT: one bike # xxx .
    CHIone # not two .
    CHIone .

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_Brown6.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah029.chaSarah 2;9.141,4979106.68

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. one10 · 100.0%