PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

62.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (9 utterances, 32 words searched).

  1. what else have we got for dinner then ? MOT · bilingual_eng_french_Watkins/b2charous09.cha, line 13 · Olivier 2;08
  2. have you got any fruit ? MOT · bilingual_eng_french_Watkins/b2charous09.cha, line 30 · Olivier 2;08
  1. bilingual_eng_french_Watkins/b2charous09.cha, line 13 · Olivier, 2;8.
    MOTwhat after dinner ?
    CHIyes, after dinner .
    MOT*MOT: what else have we got for dinner then ?
    CHIxxx xx .
    MOTnothing else ?
  2. bilingual_eng_french_Watkins/b2charous09.cha, line 30 · Olivier, 2;8.
    CHIxx xx .
    CHIxx [=? I'm] going to cut it .
    MOT*MOT: have you got any fruit ?
    CHI# euh ljɛs@u [= yes] .
    CHIi@u [=? I] got some fruit .

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. Olivier bilingual_eng_french_Watkins62.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b2charous09.chaOlivier 2;8.322262.50

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. have2 · 100.0%