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. …# one # two # three # four # all put together # where's your puzzle # Peter ? MAX · eng_USA_Bloom/peter02.cha, line 499 · Peter 1;09
  2. Peter # give me that boy over there to put on the seesaw . PAT · eng_USA_Bloom/peter02.cha, line 876 · Peter 1;09
  3. where's your book # Peter ? MAX · eng_USA_Bloom/peter02.cha, line 940 · Peter 1;09
  4. where are you going # Peter ? PAT · eng_USA_Bloom/peter02.cha, line 1094 · Peter 1;09
  5. where's your turtle # Peter ? MAX · eng_USA_Bloom/peter02.cha, line 1291 · Peter 1;09
  1. eng_USA_Bloom/peter02.cha, line 499 · Peter, 1;9.25
    MAXnow # it's all finished .
    CHIhmm .
    MAX*MAX: it's all finished # it's all put together # see # one # two # three # four # all put together # where's your puzzle # Peter ?
    CHIxxx puzzle .
    PATyou're bringing your puzzle over here ?
  2. eng_USA_Bloom/peter02.cha, line 876 · Peter, 1;9.25
    CHIturn .
    PATmmhm ## have to turn it around so it'll fit # that's good # you know [!!] how to put that train together .
    PAT*PAT: Peter # give me that boy over there to put on the seesaw .
    CHIhuh ## hmm .
    PATthat one's too big .
  3. eng_USA_Bloom/peter02.cha, line 940 · Peter, 1;9.25
    MAXshall we read a book ?
    CHIbook .
    MAX*MAX: where's your book # Peter ?
    CHIhuh .
    MAXwhere's your book ?
  4. eng_USA_Bloom/peter02.cha, line 1094 · Peter, 1;9.25
    PATvery heavy .
    CHIheavy .
    PAT*PAT: where are you going # Peter ?
    PATdo you know where you're going ?
    CHIsuitcase # yyy # daddy's .
  5. eng_USA_Bloom/peter02.cha, line 1291 · Peter, 1;9.25
    PATxxx why don't we close it # let's close it .
    PATthat's a good idea # let's put it back xxx couch # ok .
    MAX*MAX: where's your turtle # Peter ?
    CHIhuh .
    MAXwhere's your turtle .

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. peter5 · 100.0%