PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (367 utterances, 1,359 words searched).

  1. are you gonna turn the page ? FAT · eng_USA_Brown/eve03.cha, line 1417 · Eve 1;07
  2. now # look # what else are you gonna bring ? MOT · eng_USA_Brown/eve03.cha, line 1515 · Eve 1;07
  3. what are you gonna do with them ? MOT · eng_USA_Brown/eve03.cha, line 1564 · Eve 1;07
  4. where are you gonna put them ? MOT · eng_USA_Brown/eve03.cha, line 1573 · Eve 1;07
  5. and cheese you're gonna have too . MOT · eng_USA_Brown/eve03.cha, line 1846 · Eve 1;07
  6. man's gonna have a carrot too . MOT · eng_USA_Brown/eve03.cha, line 2018 · Eve 1;07
  1. eng_USA_Brown/eve03.cha, line 1417 · Eve, 1;7.
    CHIthat ?
    FATwhat are you writing # Eve ?
    FAT*FAT: are you gonna turn the page ?
    CHImore page .
    FATlook # Eve # there are all kinds of pages .
  2. eng_USA_Brown/eve03.cha, line 1515 · Eve, 1;7.
    MOTall right .
    MOTyou'll get it .
    MOT*MOT: now # look # what else are you gonna bring ?
    CHInapkin .
    MOTokay .
  3. eng_USA_Brown/eve03.cha, line 1564 · Eve, 1;7.
    MOTyou want a spoon in the napkin ?
    CHIyeah .
    MOT*MOT: what are you gonna do with them ?
    CHInapkin .
    MOTwhere are you gonna put them ?
  4. eng_USA_Brown/eve03.cha, line 1573 · Eve, 1;7.
    MOTwhat are you gonna do with them ?
    CHInapkin .
    MOT*MOT: where are you gonna put them ?
    CHIon a table .
    MOTalright .
  5. eng_USA_Brown/eve03.cha, line 1846 · Eve, 1;7.
    MOTyou can have some for lunch .
    CHIxxx cheese .
    MOT*MOT: and cheese you're gonna have too .
    MOTyes .
    MOTwhat are you doing ?
  6. eng_USA_Brown/eve03.cha, line 2018 · Eve, 1;7.
    COLcarrot # yes .
    CHIa [?] man carrot ?
    MOT*MOT: man's gonna have a carrot too .
    CHIwait a minute .
    MOTeh ?

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. Eve eng_USA_Brown4.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve03.chaEve 1;7.1,359664.42

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. gonna6 · 100.0%