PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (297 utterances, 2,020 words searched).

  1. where are you going with that suitcase ? PAT · eng_USA_Bloom/peter02.cha, line 1121 · Peter 1;09
  2. where are you taking the suitcase ? MAX · eng_USA_Bloom/peter02.cha, line 1154 · Peter 1;09
  3. what do you think (i)s in the suitcase ? MAX · eng_USA_Bloom/peter02.cha, line 1187 · Peter 1;09
  4. oh # there are lots of things in the suitcase . MAX · eng_USA_Bloom/peter02.cha, line 1190 · Peter 1;09
  5. maybe mommy wants to keep it on the suitcase . MAX · eng_USA_Bloom/peter02.cha, line 1209 · Peter 1;09
  1. MOTdo you know how to get that open ?
    CHIyyy .
    PAT*PAT: where are you going with that suitcase ?
    MOTthat one's got Jennifer's clothes in it # Pete # that's full .
    PATare you going in the car ?
  2. PATI bet you can't read that book .
    MOTdoesn't have very good pictures in it .
    MAX*MAX: where are you taking the suitcase ?
    CHIyyy .
    PATwell # you've pushed it all the way down the hall # now what are you gonna do with it ?
  3. MAXshould we open it ?
    PATI think it's empty .
    MAX*MAX: what do you think (i)s in the suitcase ?
    MAXoh # there are lots of things in the suitcase .
    MAXlet's close it and take it to the car # let's close it and take it to the car # oops # let's close this side [/] # let's close this side # thank you # now we're carrying it over to the car ?
  4. PATI think it's empty .
    MAXwhat do you think (i)s in the suitcase ?
    MAX*MAX: oh # there are lots of things in the suitcase .
    MAXlet's close it and take it to the car # let's close it and take it to the car # oops # let's close this side [/] # let's close this side # thank you # now we're carrying it over to the car ?
    CHIxxx # xxx .
  5. MAXwant me to pull that tag off ?
    CHItag off .
    MAX*MAX: maybe mommy wants to keep it on the suitcase .
    MOTno .
    MOThere let me put it on your (wrist) there .

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. Peter eng_USA_Bloom2.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter02.chaPeter 1;9.252,020552.48

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. suitcase5 · 100.0%