PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

21.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (22 utterances, 95 words searched).

  1. film me Nanny . CH5 · bilingual_eng_french_Watkins/c2zan17.cha, line 35 · Christophe 6;06
  2. film you doing what ? GRA · bilingual_eng_french_Watkins/c2zan17.cha, line 42 · Christophe 6;06
  1. bilingual_eng_french_Watkins/c2zan17.cha, line 35 · Christophe, 6;6.12
    CH5www .
    GRAturn round now Stephanie .
    CH5*CH5: film me Nanny .
    GRAwell done poser .
    MOTStephanie, can you do a normal face, that's it do a normal face, no .
  2. bilingual_eng_french_Watkins/c2zan17.cha, line 42 · Christophe, 6;6.12
    GRAxx .
    CHIcan you film me ?
    GRA*GRA: film you doing what ?
    GRAwell move, go way from here .
    CHIwww .

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_Watkins21.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c2zan17.chaChristophe 6;6.12952221.05

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. film2 · 100.0%