PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (680 utterances, 2,443 words searched).

  1. that's xxx the eyes . MOT · eng_USA_Brown/sarah062.cha, line 119 · Sarah 3;05
  2. the eyes . MOT · eng_USA_Brown/sarah062.cha, line 121 · Sarah 3;05
  3. her eyes go up and down . MOT · eng_USA_Brown/sarah062.cha, line 123 · Sarah 3;05
  4. right there # the eyes . FAT · eng_USA_Brown/sarah062.cha, line 1310 · Sarah 3;05
  5. oh # we'll put a couple of eyes in (be)cause they're not going to fade away . MOT · eng_USA_Brown/sarah062.cha, line 1329 · Sarah 3;05
  6. where's his eyes ? MOT · eng_USA_Brown/sarah062.cha, line 1396 · Sarah 3;05
  7. put his eyes in . FAT · eng_USA_Brown/sarah062.cha, line 1398 · Sarah 3;05
  8. where's his eyes ? MOT · eng_USA_Brown/sarah062.cha, line 1411 · Sarah 3;05
  1. FATnothing in it .
    MOToh !
    MOT*MOT: that's xxx the eyes .
    MOTthe eyes .
    MOTher eyes go up and down .
  2. MOToh !
    MOTthat's xxx the eyes .
    MOT*MOT: the eyes .
    MOTher eyes go up and down .
    FATput its head back on .
  3. MOTthat's xxx the eyes .
    MOTthe eyes .
    MOT*MOT: her eyes go up and down .
    FATput its head back on .
    MOTthat's not gonna last long .
  4. MOTthis is Daddy in five years .
    CHI(a)n(d) that's Daddy .
    FAT*FAT: right there # the eyes .
    CHIum # yeah .
    FATput a little on top now .
  5. MOTsee # this is his ears .
    CHIyeah .
    MOT*MOT: oh # we'll put a couple of eyes in (be)cause they're not going to fade away .
    FATcome on a little on top .
    MOTno # no # no .
  6. MOTis that Kent ?
    CHIum .
    MOT*MOT: where's his eyes ?
    FATput his eyes in .
    MOTya got the wrong end of the pencil .
  7. CHIum .
    MOTwhere's his eyes ?
    FAT*FAT: put his eyes in .
    MOTya got the wrong end of the pencil .
    CHI0 .
  8. MOTwhat's that ?
    CHIKent .
    MOT*MOT: where's his eyes ?
    CHIright here .
    MOToh .

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_Brown3.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah062.chaSarah 3;5.132,443883.27

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. eyes8 · 100.0%