PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

69.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (16 utterances, 43 words searched).

  1. come on then run, run to Nanny . GRA · bilingual_eng_french_Watkins/c3zan02.cha, line 11 · Pauline 2;02
  2. wave to Nanny . GRA · bilingual_eng_french_Watkins/c3zan02.cha, line 15 · Pauline 2;02
  3. run to Nanny . GRA · bilingual_eng_french_Watkins/c3zan02.cha, line 37 · Pauline 2;02
  1. GRA*GRA: come on then run, run to Nanny .
    GRAyes, what a fast girl !
    CHIencore !
  2. CHIencore !
    GRAencore .
    GRA*GRA: wave to Nanny .
    GRAthat's a good girl, say hello .
    CHI(h)ello .
  3. GRAhello, peep bo !
    CHIpeep+bo .
    GRA*GRA: run to Nanny .

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. Pauline bilingual_eng_french_Watkins69.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c3zan02.chaPauline 2;2.05433369.77

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. nanny3 · 100.0%