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 kind of cup was that that you could put it in the trash can ? MOT · eng_USA_Brown/adam28.cha, line 2463 · Adam 3;04
  2. what kind of cake do you have # Adam ? MOT · eng_USA_Brown/adam28.cha, line 2526 · Adam 3;04
  3. what kind of cakes are those ? MOT · eng_USA_Brown/adam28.cha, line 2533 · Adam 3;04
  4. I'd like to know what kind of cake you're going to make here . MOT · eng_USA_Brown/adam28.cha, line 2574 · Adam 3;04
  5. what kind of monster ? MOT · eng_USA_Brown/adam28.cha, line 3215 · Adam 3;04
  6. what kind of monster are you ? MOT · eng_USA_Brown/adam28.cha, line 3227 · Adam 3;04
  1. eng_USA_Brown/adam28.cha, line 2463 · Adam, 3;4.01
    CHIcup .
    MOTmy goodness .
    MOT*MOT: what kind of cup was that that you could put it in the trash can ?
    CHIa mixed cup # to drink .
    CHII have supper .
  2. eng_USA_Brown/adam28.cha, line 2526 · Adam, 3;4.01
    CHIwe goin(g) eat a picnic all up .
    CHIwe goin(g) have some franks picnic .
    MOT*MOT: what kind of cake do you have # Adam ?
    CHIbuddy cakes .
    MOTbuddy cakes ?
  3. eng_USA_Brown/adam28.cha, line 2533 · Adam, 3;4.01
    CHIbuddy cakes .
    MOTbuddy cakes ?
    MOT*MOT: what kind of cakes are those ?
    CHIdose mixer cakes .
    CHIto mixer # when you get dem all dirty and (s)melly .
  4. eng_USA_Brown/adam28.cha, line 2574 · Adam, 3;4.01
    CHIwhere fork .
    CHIyeah # I found a fork .
    MOT*MOT: I'd like to know what kind of cake you're going to make here .
    CHIa dog cake .
    MOTa dog cake .
  5. eng_USA_Brown/adam28.cha, line 3215 · Adam, 3;4.01
    MOTwhat are you ?
    CHII a monster .
    MOT*MOT: what kind of monster ?
    CHInothing monster .
    MOTa sea green monster .
  6. eng_USA_Brown/adam28.cha, line 3227 · Adam, 3;4.01
    MOTI'm a monster now .
    CHII am the monster now .
    MOT*MOT: what kind of monster are you ?
    CHIa mompsy@c [?] .
    MOTa what ?

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. kind6 · 100.0%