PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

62.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (7 utterances, 32 words searched).

  1. Ninny maman to have tea . MOT · bilingual_eng_french_Watkins/b1charous01.cha, line 14 · Annick_Sister 2;03
  2. shall we get tea ready now ? MOT · bilingual_eng_french_Watkins/b1charous01.cha, line 15 · Annick_Sister 2;03
  1. bilingual_eng_french_Watkins/b1charous01.cha, line 14 · Annick_Sister, 2;3.08
    MOTPapa's at work yes .
    CHIyou have tea ?
    MOT*MOT: Ninny maman to have tea .
    MOTshall we get tea ready now ?
    CHIhmm ?
  2. bilingual_eng_french_Watkins/b1charous01.cha, line 15 · Annick_Sister, 2;3.08
    CHIyou have tea ?
    MOTNinny maman to have tea .
    MOT*MOT: shall we get tea ready now ?
    CHIhmm ?
    MOTput the puzzles away [>] .

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. Annick_Sister bilingual_eng_french_Watkins62.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b1charous01.chaAnnick_Sister 2;3.08322262.50

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. tea2 · 100.0%