PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

27.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (27 utterances, 109 words searched).

  1. [- to CH4] how many did you have on your cake ? MOT · bilingual_eng_french_Watkins/c1zan06.cha, line 21 · Christophe 3;00
  2. tell mummy to come and have a look at my pickled onions that we've done . MOT · bilingual_eng_french_Watkins/c1zan06.cha, line 26 · Christophe 3;00
  3. <we haven't got the flour> [//] we're going to put he flour in now . MOT · bilingual_eng_french_Watkins/c1zan06.cha, line 52 · Christophe 3;00
  1. CHItwenty eight .
    GRAhow many ?
    MOT*MOT: [- to CH4] how many did you have on your cake ?
    CHIme ?
    CHIthree .
  2. MOTthree .
    CHIðæzɩt@u [: that's it] .
    MOT*MOT: tell mummy to come and have a look at my pickled onions that we've done .
    MOTyou can turn them over if you like .
    CHImummy <xx come> [>] +/.
  3. CHIready .
    CHIflour pick .
    MOT*MOT: <we haven't got the flour> [//] we're going to put he flour in now .
    MOTlet's just weigh it up .
    FATxxx .

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. Christophe bilingual_eng_french_Watkins27.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c1zan06.chaChristophe 3;0.281093327.52

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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