PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

42.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (36 utterances, 140 words searched).

  1. what are you going to have to eat ? GRA · bilingual_eng_french_Watkins/c2zan07.cha, line 17 · Christophe 5;01
  2. what are you going to have to eat ? GRA · bilingual_eng_french_Watkins/c2zan07.cha, line 17 · Christophe 5;01
  3. say a message, can you give a message to anybody ? GRA · bilingual_eng_french_Watkins/c2zan07.cha, line 26 · Christophe 5;01
  4. say something then to the camera . GRA · bilingual_eng_french_Watkins/c2zan07.cha, line 28 · Christophe 5;01
  5. have you been to school today ? GRA · bilingual_eng_french_Watkins/c2zan07.cha, line 34 · Christophe 5;01
  6. …e] you're coming over on the plane soon in three weeks, you're coming to see her . GRA · bilingual_eng_french_Watkins/c2zan07.cha, line 46 · Christophe 5;01
  1. GRAfor lunch ?
    CH5yes .
    GRA*GRA: what are you going to have to eat ?
    CH5chips and beefburger .
    GRAwhat about you Christophe ?
  2. CHInothing .
    GRAdon't you want drinks ?
    GRA*GRA: say a message, can you give a message to anybody ?
    CHII don't know what message .
    GRAsay something then to the camera .
  3. GRAsay a message, can you give a message to anybody ?
    CHII don't know what message .
    GRA*GRA: say something then to the camera .
    GRAyou say something else Stephanie .
    CH5I sayed it .
  4. CH5I want beefburger and chips .
    GRAyou want beefburger and chips oh !
    GRA*GRA: have you been to school today ?
    CH5hmm .
    GRAhave you, what did you do ?
  5. CHInothing .
    GRAyou must have done something at school .
    GRA*GRA: tell Nanny [= Nana, the greatgrandmother, slip of the toungue] you're coming over on the plane soon in three weeks, you're coming to see her .
    GRAhello, are you shy ?
    GRAwhat are you .

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_Watkins42.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c2zan07.chaChristophe 5;1.151405642.86

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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