PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

14.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (54 utterances, 204 words searched).

  1. my bobo [= cut] . CH6 · bilingual_eng_french_Watkins/c3zan07.cha, line 33 · Christophe 7;02
  2. your bobo ? GRA · bilingual_eng_french_Watkins/c3zan07.cha, line 34 · Christophe 7;02
  3. what did you do, show me your bobo . GRA · bilingual_eng_french_Watkins/c3zan07.cha, line 36 · Christophe 7;02
  1. bilingual_eng_french_Watkins/c3zan07.cha, line 33 · Christophe, 7;2.06
    GRAwhere's Stephanie, is she over there ?
    CH6yes .
    CH6*CH6: my bobo [= cut] .
    GRAyour bobo ?
    CH6yes .
  2. bilingual_eng_french_Watkins/c3zan07.cha, line 34 · Christophe, 7;2.06
    CH6yes .
    CH6my bobo [= cut] .
    GRA*GRA: your bobo ?
    CH6yes .
    GRAwhat did you do, show me your bobo .
  3. bilingual_eng_french_Watkins/c3zan07.cha, line 36 · Christophe, 7;2.06
    GRAyour bobo ?
    CH6yes .
    GRA*GRA: what did you do, show me your bobo .
    GRAstay there, show me on the camera .
    GRAstay 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. Christophe bilingual_eng_french_Watkins14.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c3zan07.chaChristophe 7;2.062043314.71

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. bobo3 · 100.0%