PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (550 utterances, 2,387 words searched).

  1. what're you going to write ? URS · eng_USA_Brown/adam28.cha, line 99 · Adam 3;04
  2. what're you making ? URS · eng_USA_Brown/adam28.cha, line 447 · Adam 3;04
  3. what're we having ? MOT · eng_USA_Brown/adam28.cha, line 664 · Adam 3;04
  4. what're we having for supper ? MOT · eng_USA_Brown/adam28.cha, line 671 · Adam 3;04
  5. what're you doing now ? MOT · eng_USA_Brown/adam28.cha, line 971 · Adam 3;04
  6. what're you going to do with those ? URS · eng_USA_Brown/adam28.cha, line 1728 · Adam 3;04
  1. eng_USA_Brown/adam28.cha, line 99 · Adam, 3;4.01
    CHIno .
    URSthat's it .
    URS*URS: what're you going to write ?
    CHImy teacher .
    CHImy doctor .
  2. eng_USA_Brown/adam28.cha, line 447 · Adam, 3;4.01
    URSshall I fold it in half ?
    CHIyeah .
    URS*URS: what're you making ?
    CHIa moon .
    CHIand a straight seat to sit on de moon .
  3. eng_USA_Brown/adam28.cha, line 664 · Adam, 3;4.01
    MOTwhat are we having for breakfast ?
    CHIit's night+time .
    MOT*MOT: what're we having ?
    CHIsupper .
    MOTsupper # oh ?
  4. eng_USA_Brown/adam28.cha, line 671 · Adam, 3;4.01
    CHIsupper .
    MOTsupper # oh ?
    MOT*MOT: what're we having for supper ?
    CHImeat and gravy .
    MOTmeat and gravy .
  5. eng_USA_Brown/adam28.cha, line 971 · Adam, 3;4.01
    MOTlike that ?
    CHIyes .
    MOT*MOT: what're you doing now ?
    CHImaking a hole .
    MOTmaking a hole ?
  6. eng_USA_Brown/adam28.cha, line 1728 · Adam, 3;4.01
    CHIwe all have cake .
    CHIwe all eating [?] ladies [?] .
    URS*URS: what're you going to do with those ?
    CHIwhich bag they were # huh # in ?
    URSI'm not sure you can put them back .

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. Adam eng_USA_Brown2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam28.chaAdam 3;4.012,387662.51

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. what're6 · 100.0%