PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

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

  1. not too near, darling . GRA · bilingual_eng_french_Watkins/c3zan07.cha, line 39 · Christophe 7;02
  2. you're too near, Stephanie . GRA · bilingual_eng_french_Watkins/c3zan07.cha, line 46 · Christophe 7;02
  1. bilingual_eng_french_Watkins/c3zan07.cha, line 39 · Christophe, 7;2.06
    GRAstay there, show me on the camera .
    GRAstay there .
    GRA*GRA: not too near, darling .
    GRAhave you got a sore hand .
    GRAah !
  2. bilingual_eng_french_Watkins/c3zan07.cha, line 46 · Christophe, 7;2.06
    GRAshow me .
    CH5I want to see .
    GRA*GRA: you're too near, Stephanie .
    CH5I want to see .
    GRAI've got you on the camera .

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_Watkins9.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c3zan07.chaChristophe 7;2.06204229.80

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. too2 · 100.0%