PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 1,731 words searched).

  1. you have one of those xxx . GRA · eng_USA_Brown/sarah017.cha, line 30 · Sarah 2;06
  2. quick recognition of money . MOT · eng_USA_Brown/sarah017.cha, line 381 · Sarah 2;06
  3. what kind of a man ? GRA · eng_USA_Brown/sarah017.cha, line 417 · Sarah 2;06
  4. kangaroo # I couldn't think of it . GRA · eng_USA_Brown/sarah017.cha, line 684 · Sarah 2;06
  5. want a drink of water ? GRA · eng_USA_Brown/sarah017.cha, line 729 · Sarah 2;06
  6. that enough of reading ? GRA · eng_USA_Brown/sarah017.cha, line 746 · Sarah 2;06
  7. what did they take out of the cave ? GRA · eng_USA_Brown/sarah017.cha, line 1968 · Sarah 2;06
  1. eng_USA_Brown/sarah017.cha, line 30 · Sarah, 2;6.13
    GRAum # divin(g) .
    GRAoh # what's this ?
    GRA*GRA: you have one of those xxx .
    GRAwhat's this ?
    CHIxxx .
  2. eng_USA_Brown/sarah017.cha, line 381 · Sarah, 2;6.13
    GRAyeah .
    CHImo(ne)y .
    MOT*MOT: quick recognition of money .
    CHIdoggie .
    GRAthat's a pig .
  3. eng_USA_Brown/sarah017.cha, line 417 · Sarah, 2;6.13
    CHIman .
    GRAyeah # and what is he ?
    GRA*GRA: what kind of a man ?
    CHIxxx .
    GRApoliceman .
  4. eng_USA_Brown/sarah017.cha, line 684 · Sarah, 2;6.13
    GRAuh +...
    MOTkangaroo .
    GRA*GRA: kangaroo # I couldn't think of it .
    CHIkangaroo .
    GRAkangaroo .
  5. eng_USA_Brown/sarah017.cha, line 729 · Sarah, 2;6.13
    GRAyeah .
    CHIcake .
    GRA*GRA: want a drink of water ?
    CHIdere .
    GRAhmm ?
  6. eng_USA_Brown/sarah017.cha, line 746 · Sarah, 2;6.13
    CHIdere .
    GRAok ?
    GRA*GRA: that enough of reading ?
    GRAhuh ?
    CHIread (a)gain .
  7. eng_USA_Brown/sarah017.cha, line 1968 · Sarah, 2;6.13
    GRAwhat did they take ?
    CHIxxx .
    GRA*GRA: what did they take out of the cave ?
    CHIxxx .
    GRA<what's this> [//] <now you know what this> [//] what's this here ?

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. Sarah eng_USA_Brown4.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah017.chaSarah 2;6.131,731774.04

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.

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